| 1. |
Introducing the Open Arabic LLM Leaderboard |
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| 2. |
Hugging Face x LangChain : A new partner package in LangChain |
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| 3. |
PaliGemma – Google's Cutting-Edge Open Vision Language Model |
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| 4. |
License to Call: Introducing Transformers Agents 2.0 |
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| 5. |
Building Cost-Efficient Enterprise RAG applications with Intel Gaudi 2 and Intel Xeon |
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| 6. |
Subscribe to Enterprise Hub with your AWS Account |
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| 7. |
Introducing the Open Leaderboard for Hebrew LLMs! |
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| 8. |
Bringing the Artificial Analysis LLM Performance Leaderboard to Hugging Face |
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| 9. |
Powerful ASR + diarization + speculative decoding with Hugging Face Inference Endpoints |
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| 10. |
Improving Prompt Consistency with Structured Generations |
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| 11. |
StarCoder2-Instruct: Fully Transparent and Permissive Self-Alignment for Code Generation |
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| 12. |
Introducing the Open Chain of Thought Leaderboard |
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| 13. |
Jack of All Trades, Master of Some, a Multi-Purpose Transformer Agent |
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| 14. |
The Open Medical-LLM Leaderboard: Benchmarking Large Language Models in Healthcare |
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| 15. |
Welcome Llama 3 - Meta's new open LLM |
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| 16. |
Introducing the LiveCodeBench Leaderboard - Holistic and Contamination-Free Evaluation of Code LLMs |
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| 17. |
Ryght’s Journey to Empower Healthcare and Life Sciences with Expert Support from Hugging Face |
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| 18. |
Running Privacy-Preserving Inference on Hugging Face Endpoints |
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| 19. |
AI Apps in a Flash with Gradio's Reload Mode |
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| 20. |
Introducing Idefics2: A Powerful 8B Vision-Language Model for the community |
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| 21. |
Vision Language Models Explained |
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| 22. |
Making thousands of open LLMs bloom in the Vertex AI Model Garden |
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| 23. |
CodeGemma - an official Google release for code LLMs |
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| 24. |
Public Policy at Hugging Face |
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| 25. |
Text2SQL using Hugging Face Dataset Viewer API and Motherduck DuckDB-NSQL-7B |
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| 26. |
Hugging Face partners with Wiz Research to Improve AI Security |
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| 27. |
Blazing Fast SetFit Inference with ???? Optimum Intel on Xeon |
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| 28. |
Bringing serverless GPU inference to Hugging Face users |
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| 29. |
Pollen-Vision: Unified interface for Zero-Shot vision models in robotics |
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| 30. |
Binary and Scalar Embedding Quantization for Significantly Faster & Cheaper Retrieval |
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| 31. |
Total noob’s intro to Hugging Face Transformers |
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| 32. |
Introducing the Chatbot Guardrails Arena |
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| 33. |
GaLore: Advancing Large Model Training on Consumer-grade Hardware |
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| 34. |
Cosmopedia: how to create large-scale synthetic data for pre-training Large Language Models |
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| 35. |
A Chatbot on your Laptop: Phi-2 on Intel Meteor Lake |
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| 36. |
quanto: a pytorch quantization toolkit |
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| 37. |
Easily Train Models with H100 GPUs on NVIDIA DGX Cloud |
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| 38. |
Unlocking the conversion of Web Screenshots into HTML Code with the WebSight Dataset |
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| 39. |
CPU Optimized Embeddings with ???? Optimum Intel and fastRAG |
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| 40. |
Introducing ConTextual: How well can your Multimodal model jointly reason over text and image in text-rich scenes? |
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| 41. |
Data is better together |
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| 42. |
Text-Generation Pipeline on Intel® Gaudi® 2 AI Accelerator |
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| 43. |
StarCoder2 and The Stack v2 |
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| 44. |
TTS Arena: Benchmarking Text-to-Speech Models in the Wild |
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| 45. |
AI Watermarking 101: Tools and Techniques |
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| 46. |
???? Introduction to Matryoshka Embedding Models |
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| 47. |
Introducing the Red-Teaming Resistance Leaderboard |
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| 48. |
Fine-Tuning Gemma Models in Hugging Face |
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| 49. |
Welcome Gemma - Google's new open LLM |
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| 50. |
Introducing the Open Ko-LLM Leaderboard: Leading the Korean LLM Evaluation Ecosystem |
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| 51. |
???? PEFT welcomes new merging methods |
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| 52. |
Synthetic data: save money, time and carbon with open source |
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| 53. |
AMD Pervasive AI Developer Contest! |
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| 54. |
From OpenAI to Open LLMs with Messages API |
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| 55. |
SegMoE: Segmind Mixture of Diffusion Experts |
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| 56. |
NPHardEval Leaderboard: Unveiling the Reasoning Abilities of Large Language Models through Complexity Classes and Dynamic Updates |
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| 57. |
Hugging Face Text Generation Inference available for AWS Inferentia2 |
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| 58. |
Constitutional AI with Open LLMs |
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| 59. |
Patch Time Series Transformer in Hugging Face |
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| 60. |
Introducing the Enterprise Scenarios Leaderboard: a Leaderboard for Real World Use Cases |
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| 61. |
Accelerate StarCoder with ???? Optimum Intel on Xeon: Q8/Q4 and Speculative Decoding |
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| 62. |
The Hallucinations Leaderboard, an Open Effort to Measure Hallucinations in Large Language Models |
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| 63. |
An Introduction to AI Secure LLM Safety Leaderboard |
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| 64. |
Hugging Face and Google partner for open AI collaboration |
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| 65. |
Open-source LLMs as LangChain Agents |
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| 66. |
PatchTSMixer in HuggingFace |
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| 67. |
Fine-Tune W2V2-Bert for low-resource ASR with ???? Transformers |
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| 68. |
Preference Tuning LLMs with Direct Preference Optimization Methods |
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| 69. |
Accelerating SD Turbo and SDXL Turbo Inference with ONNX Runtime and Olive |
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| 70. |
A guide to setting up your own Hugging Face leaderboard: an end-to-end example with Vectara's hallucination leaderboard |
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| 71. |
Faster fine-tuning using TRL & Unsloth |
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| 72. |
Welcome aMUSEd: Efficient Text-to-Image Generation |
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| 73. |
LoRA training scripts of the world, unite! |
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| 74. |
Speculative Decoding for 2x Faster Whisper Inference |
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| 75. |
2023, year of open LLMs |
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| 76. |
Mixture of Experts Explained |
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| 77. |
Welcome Mixtral - a SOTA Mixture of Experts on Hugging Face |
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| 78. |
SetFitABSA: Few-Shot Aspect Based Sentiment Analysis using SetFit |
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| 79. |
Goodbye cold boot - how we made LoRA inference 300% faster |
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| 80. |
Optimum-NVIDIA - Unlock blazingly fast LLM inference in just 1 line of code |
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| 81. |
AMD + ????: Large Language Models Out-of-the-Box Acceleration with AMD GPU |
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| 82. |
Open LLM Leaderboard: DROP deep dive |
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| 83. |
SDXL in 4 steps with Latent Consistency LoRAs |
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| 84. |
Comparing the Performance of LLMs: A Deep Dive into Roberta, Llama 2, and Mistral for Disaster Tweets Analysis with Lora |
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| 85. |
Introducing Prodigy-HF: a direct integration with Hugging Face |
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| 86. |
Make your llama generation time fly with AWS Inferentia2 |
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| 87. |
Introducing Storage Regions on the HF Hub |
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| 88. |
Creating open machine learning datasets? Share them on the Hugging Face Hub! |
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| 89. |
Personal Copilot: Train Your Own Coding Assistant |
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| 90. |
Interactively explore your Huggingface dataset with one line of code |
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| 91. |
Deploy Embedding Models with Hugging Face Inference Endpoints |
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| 92. |
The N Implementation Details of RLHF with PPO |
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| 93. |
Exploring simple optimizations for SDXL |
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| 94. |
Gradio-Lite: Serverless Gradio Running Entirely in Your Browser |
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| 95. |
Accelerating over 130,000 Hugging Face models with ONNX Runtime |
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| 96. |
Accelerating Stable Diffusion XL Inference with JAX on Cloud TPU v5e |
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| 97. |
Chat Templates: An End to the Silent Performance Killer |
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| 98. |
Deploying the AI Comic Factory using the Inference API |
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| 99. |
Finetune Stable Diffusion Models with DDPO via TRL |
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| 100. |
Ethics and Society Newsletter #5: Hugging Face Goes To Washington and Other Summer 2023 Musings |
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| 101. |
Non-engineers guide: Train a LLaMA 2 chatbot |
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| 102. |
Llama 2 on Amazon SageMaker a Benchmark |
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| 103. |
Inference for PROs |
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| 104. |
Rocket Money x Hugging Face: Scaling Volatile ML Models in Production |
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| 105. |
Object Detection Leaderboard |
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| 106. |
Introduction to 3D Gaussian Splatting |
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| 107. |
Optimizing your LLM in production |
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| 108. |
Introducing Würstchen: Fast Diffusion for Image Generation |
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| 109. |
Fine-tuning Llama 2 70B using PyTorch FSDP |
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| 110. |
Overview of natively supported quantization schemes in ???? Transformers |
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| 111. |
SafeCoder vs. Closed-source Code Assistants |
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| 112. |
Efficient Controllable Generation for SDXL with T2I-Adapters |
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| 113. |
Spread Your Wings: Falcon 180B is here |
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| 114. |
Fetch Cuts ML Processing Latency by 50% Using Amazon SageMaker & Hugging Face |
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| 115. |
AudioLDM 2, but faster ⚡️ |
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| 116. |
Code Llama: Llama 2 learns to code |
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| 117. |
Deprecation of Git Authentication using password |
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| 118. |
Making LLMs lighter with AutoGPTQ and transformers |
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| 119. |
Introducing SafeCoder |
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| 120. |
Introducing IDEFICS: An Open Reproduction of State-of-the-art Visual Language Model |
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| 121. |
Hugging Face Platform on the AWS Marketplace: Pay with your AWS Account |
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| 122. |
Deploying Hugging Face Models with BentoML: DeepFloyd IF in Action |
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| 123. |
Optimizing Bark using ???? Transformers |
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| 124. |
Releasing Swift Transformers: Run On-Device LLMs in Apple Devices |
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| 125. |
Fine-tune Llama 2 with DPO |
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| 126. |
Deploy MusicGen in no time with Inference Endpoints |
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| 127. |
Towards Encrypted Large Language Models with FHE |
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| 128. |
Huggy Lingo: Using Machine Learning to Improve Language Metadata on the Hugging Face Hub |
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| 129. |
Practical 3D Asset Generation: A Step-by-Step Guide |
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| 130. |
Open-sourcing Knowledge Distillation Code and Weights of SD-Small and SD-Tiny |
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| 131. |
Stable Diffusion XL on Mac with Advanced Core ML Quantization |
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| 132. |
Introducing Agents.js: Give tools to your LLMs using JavaScript |
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| 133. |
AI Policy @????: Open ML Considerations in the EU AI Act |
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| 134. |
Results of the Open Source AI Game Jam |
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| 135. |
Happy 1st anniversary ???? Diffusers! |
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| 136. |
Llama 2 is here - get it on Hugging Face |
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| 137. |
Open-Source Text Generation & LLM Ecosystem at Hugging Face |
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| 138. |
Building an AI WebTV |
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| 139. |
Fine-tuning Stable Diffusion models on Intel CPUs |
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| 140. |
Making ML-powered web games with Transformers.js |
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| 141. |
Deploy LLMs with Hugging Face Inference Endpoints |
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| 142. |
Making a web app generator with open ML models |
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| 143. |
Leveraging Hugging Face for complex generative AI use cases |
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| 144. |
Accelerating Vision-Language Models: BridgeTower on Habana Gaudi2 |
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| 145. |
Ethics and Society Newsletter #4: Bias in Text-to-Image Models |
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| 146. |
What's going on with the Open LLM Leaderboard? |
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| 147. |
Panel on Hugging Face |
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| 148. |
AI Policy @????: Response to the U.S. NTIA's Request for Comment on AI Accountability |
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| 149. |
Fine-tuning MMS Adapter Models for Multi-Lingual ASR |
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| 150. |
Yes, Transformers are Effective for Time Series Forecasting (+ Autoformer) |
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| 151. |
Deploy Livebook notebooks as apps to Hugging Face Spaces |
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| 152. |
Faster Stable Diffusion with Core ML on iPhone, iPad, and Mac |
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| 153. |
Announcing our new Content Guidelines and Policy |
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| 154. |
Hugging Face and AMD partner on accelerating state-of-the-art models for CPU and GPU platforms |
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| 155. |
The Hugging Face Hub for Galleries, Libraries, Archives and Museums |
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| 156. |
Can foundation models label data like humans? |
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| 157. |
DuckDB: run SQL queries on 50,000+ datasets on the Hugging Face Hub |
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| 158. |
Welcome fastText to the ???? Hub |
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| 159. |
The Falcon has landed in the Hugging Face ecosystem |
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| 160. |
AI Speech Recognition in Unity |
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| 161. |
Announcing the Open Source AI Game Jam ???? |
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| 162. |
Introducing BERTopic Integration with Hugging Face Hub |
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| 163. |
Introducing the Hugging Face LLM Inference Container for Amazon SageMaker |
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| 164. |
Optimizing Stable Diffusion for Intel CPUs with NNCF and ???? Optimum |
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| 165. |
Hugging Face Collaborates with Microsoft to Launch Hugging Face Model Catalog on Azure |
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| 166. |
Making LLMs even more accessible with bitsandbytes, 4-bit quantization and QLoRA |
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| 167. |
Hugging Face and IBM partner on watsonx.ai, the next-generation enterprise studio for AI builders |
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| 168. |
Instruction-tuning Stable Diffusion with InstructPix2Pix |
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| 169. |
Safetensors audited as really safe and becoming the default |
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| 170. |
Smaller is better: Q8-Chat, an efficient generative AI experience on Xeon |
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| 171. |
Large-scale Near-deduplication Behind BigCode |
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| 172. |
Introducing RWKV — An RNN with the advantages of a transformer |
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| 173. |
Run a Chatgpt-like Chatbot on a Single GPU with ROCm |
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| 174. |
Hugging Face Selected for the French Data Protection Agency Enhanced Support Program |
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| 175. |
Assisted Generation: a new direction toward low-latency text generation |
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| 176. |
Creating a Coding Assistant with StarCoder |
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| 177. |
A Dive into Text-to-Video Models |
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| 178. |
StarCoder: A State-of-the-Art LLM for Code |
|
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| 179. |
How to Install and Use the Hugging Face Unity API |
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| 180. |
Training a language model with ???? Transformers using TensorFlow and TPUs |
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| 181. |
Databricks ❤️ Hugging Face: up to 40% faster training and tuning of Large Language Models |
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| 182. |
Running IF with ???? diffusers on a Free Tier Google Colab |
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| 183. |
Introducing HuggingFace blog for Chinese speakers: Fostering Collaboration with the Chinese AI community |
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| 184. |
How to host a Unity game in a Space |
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| 185. |
Accelerating Hugging Face Transformers with AWS Inferentia2 |
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| 186. |
Graph Classification with Transformers |
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| 187. |
Creating Privacy Preserving AI with Substra |
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| 188. |
Snorkel AI x Hugging Face: unlock foundation models for enterprises |
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| 189. |
StackLLaMA: A hands-on guide to train LLaMA with RLHF |
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| 190. |
Ethics and Society Newsletter #3: Ethical Openness at Hugging Face |
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| 191. |
Fast Inference on Large Language Models: BLOOMZ on Habana Gaudi2 Accelerator |
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| 192. |
Accelerating Stable Diffusion Inference on Intel CPUs |
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| 193. |
Federated Learning using Hugging Face and Flower |
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| 194. |
Train your ControlNet with diffusers |
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| 195. |
Jupyter X Hugging Face |
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| 196. |
Multivariate Probabilistic Time Series Forecasting with Informer |
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| 197. |
Fine-tuning 20B LLMs with RLHF on a 24GB consumer GPU |
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| 198. |
New ViT and ALIGN Models From Kakao Brain |
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| 199. |
ControlNet in Diffusers ???? |
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| 200. |
Using Machine Learning to Aid Survivors and Race through Time |
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| 201. |
Ethical guidelines for developing the Diffusers library |
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| 202. |
How Hugging Face Accelerated Development of Witty Works Writing Assistant |
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| 203. |
Red-Teaming Large Language Models |
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| 204. |
Swift Diffusers: Fast Stable Diffusion for Mac |
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| 205. |
Fetch Consolidates AI Tools and Saves 30% Development Time with Hugging Face on AWS |
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| 206. |
Hugging Face and AWS partner to make AI more accessible |
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| 207. |
Why we’re switching to Hugging Face Inference Endpoints, and maybe you should too |
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| 208. |
Zero-shot image-to-text generation with BLIP-2 |
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| 209. |
???? PEFT: Parameter-Efficient Fine-Tuning of Billion-Scale Models on Low-Resource Hardware |
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| 210. |
Speech Synthesis, Recognition, and More With SpeechT5 |
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| 211. |
Introducing ⚔️ AI vs. AI ⚔️ a deep reinforcement learning multi-agents competition system |
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| 212. |
Generating Stories: AI for Game Development #5 |
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| 213. |
Accelerating PyTorch Transformers with Intel Sapphire Rapids, part 2 |
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| 214. |
A Dive into Pretraining Strategies for Vision-Language Models |
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| 215. |
The State of Computer Vision at Hugging Face ???? |
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| 216. |
Using LoRA for Efficient Stable Diffusion Fine-Tuning |
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| 217. |
2D Asset Generation: AI for Game Development #4 |
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| 218. |
Optimum+ONNX Runtime - Easier, Faster training for your Hugging Face models |
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| 219. |
What Makes a Dialog Agent Useful? |
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| 220. |
3D Asset Generation: AI for Game Development #3 |
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| 221. |
Universal Image Segmentation with Mask2Former and OneFormer |
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| 222. |
Welcome PaddlePaddle to the Hugging Face Hub |
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| 223. |
Image Similarity with Hugging Face Datasets and Transformers |
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| 224. |
AI for Game Development: Creating a Farming Game in 5 Days. Part 2 |
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| 225. |
Introduction to Graph Machine Learning |
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| 226. |
Accelerating PyTorch Transformers with Intel Sapphire Rapids, part 1 |
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| 227. |
AI for Game Development: Creating a Farming Game in 5 Days. Part 1 |
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| 228. |
Zero-shot image segmentation with CLIPSeg |
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| 229. |
Model Cards: Introducing HF Model documentation tools |
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| 230. |
A Complete Guide to Audio Datasets |
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| 231. |
Ethics and Society Newsletter #2: Let's talk about bias! |
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| 232. |
Faster Training and Inference: Habana Gaudi®2 vs Nvidia A100 80GB |
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| 233. |
From GPT2 to Stable Diffusion: Hugging Face arrives to the Elixir community |
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| 234. |
Illustrating Reinforcement Learning from Human Feedback (RLHF) |
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| 235. |
Deep Learning with Proteins |
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| 236. |
Probabilistic Time Series Forecasting with ???? Transformers |
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| 237. |
Using Stable Diffusion with Core ML on Apple Silicon |
|
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| 238. |
VQ Diffusion with ???? Diffusers |
|
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| 239. |
We are hiring interns! |
|
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| 240. |
Diffusion Models Live Event |
|
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| 241. |
Director of Machine Learning Insights [Part 4] |
|
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| 242. |
An Overview of Inference Solutions on Hugging Face |
|
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| 243. |
Accelerating Document AI |
|
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| 244. |
Hugging Face Machine Learning Demos on arXiv |
|
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| 245. |
Sentiment Classification with Fully Homomorphic Encryption using Concrete ML |
|
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| 246. |
Introducing our new pricing |
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| 247. |
Generating Human-level Text with Contrastive Search in Transformers ???? |
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| 248. |
Training Stable Diffusion with Dreambooth using ???? Diffusers |
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| 249. |
Fine-Tune Whisper with ???? Transformers |
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| 250. |
Accelerate your models with ???? Optimum Intel and OpenVINO |
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| 251. |
Evaluating Language Model Bias with ???? Evaluate |
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| 252. |
From PyTorch DDP to ???? Accelerate to ???? Trainer, mastery of distributed training with ease |
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| 253. |
MTEB: Massive Text Embedding Benchmark |
|
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| 254. |
Getting started with Hugging Face Inference Endpoints |
|
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| 255. |
Stable Diffusion in JAX/Flax ???? |
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| 256. |
Optimization story: Bloom inference |
|
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| 257. |
Introducing DOI: the Digital Object Identifier to Datasets and Models |
|
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| 258. |
Japanese Stable Diffusion |
|
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| 259. |
Very Large Language Models and How to Evaluate Them |
|
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| 260. |
Image Classification with AutoTrain |
|
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| 261. |
How ???? Accelerate runs very large models thanks to PyTorch |
|
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| 262. |
SetFit: Efficient Few-Shot Learning Without Prompts |
|
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| 263. |
Ethics and Society Newsletter #1 |
|
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| 264. |
Incredibly Fast BLOOM Inference with DeepSpeed and Accelerate |
|
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| 265. |
What's new in Diffusers? ???? |
|
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| 266. |
Train your first Decision Transformer |
|
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| 267. |
How to train a Language Model with Megatron-LM |
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| 268. |
OpenRAIL: Towards open and responsible AI licensing frameworks |
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| 269. |
Visualize proteins on Hugging Face Spaces |
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| 270. |
Pre-Train BERT with Hugging Face Transformers and Habana Gaudi |
|
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| 271. |
Stable Diffusion with ???? Diffusers |
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| 272. |
Deploying ???? ViT on Vertex AI |
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| 273. |
Deep Dive: Vision Transformers On Hugging Face Optimum Graphcore |
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| 274. |
A Gentle Introduction to 8-bit Matrix Multiplication for transformers at scale using transformers, accelerate and bitsandbytes |
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| 275. |
Hugging Face's TensorFlow Philosophy |
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| 276. |
Introducing Skops |
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| 277. |
Deploying ???? ViT on Kubernetes with TF Serving |
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| 278. |
Train and Fine-Tune Sentence Transformers Models |
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| 279. |
Proximal Policy Optimization (PPO) |
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| 280. |
Introducing the Private Hub: A New Way to Build With Machine Learning |
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| 281. |
Nyströmformer, Approximating self-attention in linear time and memory via the Nyström method |
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| 282. |
AI Policy @????: Comments on U.S. National AI Research Resource Interim Report |
|
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| 283. |
Introducing new audio and vision documentation in ???? Datasets |
|
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| 284. |
Faster Text Generation with TensorFlow and XLA |
|
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| 285. |
Deploying TensorFlow Vision Models in Hugging Face with TF Serving |
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| 286. |
Advantage Actor Critic (A2C) |
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| 287. |
How to train your model dynamically using adversarial data |
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| 288. |
The Technology Behind BLOOM Training |
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| 289. |
Building a Playlist Generator with Sentence Transformers |
|
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| 290. |
Introducing The World's Largest Open Multilingual Language Model: BLOOM |
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| 291. |
Getting Started with Sentiment Analysis on Twitter |
|
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| 292. |
Policy Gradient with PyTorch |
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| 293. |
Liftoff! How to get started with your first ML project ???? |
|
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| 294. |
Announcing Evaluation on the Hub |
|
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| 295. |
Accelerate Large Model Training using DeepSpeed |
|
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| 296. |
Getting Started With Embeddings |
|
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| 297. |
Convert Transformers to ONNX with Hugging Face Optimum |
|
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| 298. |
Intel and Hugging Face Partner to Democratize Machine Learning Hardware Acceleration |
|
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| 299. |
Director of Machine Learning Insights [Part 3: Finance Edition] |
|
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| 300. |
Deep Q-Learning with Atari |
|
|
| 301. |
The Annotated Diffusion Model |
|
|
| 302. |
Graphcore and Hugging Face Launch New Lineup of IPU-Ready Transformers |
|
|
| 303. |
Introducing Pull Requests and Discussions ???? |
|
|
| 304. |
Efficient Table Pre-training without Real Data: An Introduction to TAPEX |
|
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| 305. |
An Introduction to Q-Learning Part 2 |
|
|
| 306. |
Putting ethical principles at the core of research lifecycle |
|
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| 307. |
How Sempre Health is leveraging the Expert Acceleration Program to accelerate their ML roadmap |
|
|
| 308. |
An Introduction to Q-Learning Part 1 |
|
|
| 309. |
Announcing the Hugging Face Fellowship Program |
|
|
| 310. |
Machine Learning Experts - Sasha Luccioni Interview |
|
|
| 311. |
Gradio 3.0 is Out! |
|
|
| 312. |
Student Ambassador Program's call for applications is open! |
|
|
| 313. |
Director of Machine Learning Insights [Part 2: SaaS Edition] |
|
|
| 314. |
Accelerated Inference with Optimum and Transformers Pipelines |
|
|
| 315. |
We Raised $100 Million for Open & Collaborative Machine Learning ???? |
|
|
| 316. |
Welcome fastai to the Hugging Face Hub |
|
|
| 317. |
An Introduction to Deep Reinforcement Learning |
|
|
| 318. |
Accelerate Large Model Training using PyTorch Fully Sharded Data Parallel |
|
|
| 319. |
Opinion Classification with Kili and HuggingFace AutoTrain |
|
|
| 320. |
Director of Machine Learning Insights [Series] |
|
|
| 321. |
Getting Started with Transformers on Habana Gaudi |
|
|
| 322. |
Introducing Hugging Face for Education |
|
|
| 323. |
Supercharged Customer Service with Machine Learning |
|
|
| 324. |
CO2 Emissions and the ???? Hub: Leading the Charge |
|
|
| 325. |
Machine Learning Experts - Lewis Tunstall Interview |
|
|
| 326. |
Habana Labs and Hugging Face Partner to Accelerate Transformer Model Training |
|
|
| 327. |
Don't repeat yourself - ???? Transformers Design Philosophy |
|
|
| 328. |
Introducing Decision Transformers on Hugging Face ???? |
|
|
| 329. |
Machine Learning Experts - Meg Mitchell Interview |
|
|
| 330. |
Announcing the ???? AI Research Residency Program |
|
|
| 331. |
Fine-Tune a Semantic Segmentation Model with a Custom Dataset |
|
|
| 332. |
Image search with ???? datasets |
|
|
| 333. |
Accelerate BERT inference with Hugging Face Transformers and AWS inferentia |
|
|
| 334. |
Guiding Text Generation with Constrained Beam Search in ???? Transformers |
|
|
| 335. |
BERT 101 ???? State Of The Art NLP Model Explained |
|
|
| 336. |
Fine-Tune ViT for Image Classification with ???? Transformers |
|
|
| 337. |
Getting Started with Sentiment Analysis using Python |
|
|
| 338. |
Making automatic speech recognition work on large files with Wav2Vec2 in ???? Transformers |
|
|
| 339. |
Supercharged Searching on the Hugging Face Hub |
|
|
| 340. |
Welcome Stable-baselines3 to the Hugging Face Hub ???? |
|
|
| 341. |
Case Study: Millisecond Latency using Hugging Face Infinity and modern CPUs |
|
|
| 342. |
Boost Wav2Vec2 with n-gram LM in ???? Transformers |
|
|
| 343. |
Deploy GPT-J 6B for inference using Hugging Face Transformers and Amazon SageMaker |
|
|
| 344. |
Active Learning with AutoNLP and Prodigy |
|
|
| 345. |
Gradio joins Hugging Face! |
|
|
| 346. |
Perceiver IO: a scalable, fully-attentional model that works on any modality |
|
|
| 347. |
Training CodeParrot ???? from Scratch |
|
|
| 348. |
Introducing Snowball Fight ☃️, our First ML-Agents Environment |
|
|
| 349. |
Getting Started with Hugging Face Transformers for IPUs with Optimum |
|
|
| 350. |
Introducing the Data Measurements Tool: an Interactive Tool for Looking at Datasets |
|
|
| 351. |
Accelerating PyTorch distributed fine-tuning with Intel technologies |
|
|
| 352. |
Fine-tuning XLS-R for Multi-Lingual ASR with ???? Transformers |
|
|
| 353. |
Scaling up BERT-like model Inference on modern CPU - Part 2 |
|
|
| 354. |
Large Language Models: A New Moore's Law? |
|
|
| 355. |
Course Launch Community Event |
|
|
| 356. |
Train a Sentence Embedding Model with 1B Training Pairs |
|
|
| 357. |
The Age of Machine Learning As Code Has Arrived |
|
|
| 358. |
Fine tuning CLIP with Remote Sensing (Satellite) images and captions |
|
|
| 359. |
Showcase Your Projects in Spaces using Gradio |
|
|
| 360. |
Hosting your Models and Datasets on Hugging Face Spaces using Streamlit |
|
|
| 361. |
Summer at Hugging Face ☀️ |
|
|
| 362. |
Introducing Optimum: The Optimization Toolkit for Transformers at Scale |
|
|
| 363. |
Hugging Face and Graphcore partner for IPU-optimized Transformers |
|
|
| 364. |
Deep Learning over the Internet: Training Language Models Collaboratively |
|
|
| 365. |
Welcome spaCy to the ???? Hub |
|
|
| 366. |
Deploy Hugging Face models easily with Amazon SageMaker |
|
|
| 367. |
Sentence Transformers in the ???? Hub |
|
|
| 368. |
Few-shot learning in practice: GPT-NEO and the ???? Accelerated Inference API |
|
|
| 369. |
Using & Mixing Hugging Face Models with Gradio 2.0 |
|
|
| 370. |
Scaling-up BERT Inference on CPU (Part 1) |
|
|
| 371. |
Introducing ???? Accelerate |
|
|
| 372. |
Distributed Training: Train BART/T5 for Summarization using ???? Transformers and Amazon SageMaker |
|
|
| 373. |
Understanding BigBird's Block Sparse Attention |
|
|
| 374. |
The Partnership: Amazon SageMaker and Hugging Face |
|
|
| 375. |
My Journey to a serverless transformers pipeline on Google Cloud |
|
|
| 376. |
Fine-Tune Wav2Vec2 for English ASR with ???? Transformers |
|
|
| 377. |
Hugging Face Reads, Feb. 2021 - Long-range Transformers |
|
|
| 378. |
Simple considerations for simple people building fancy neural networks |
|
|
| 379. |
Retrieval Augmented Generation with Huggingface Transformers and Ray |
|
|
| 380. |
Hugging Face on PyTorch / XLA TPUs |
|
|
| 381. |
Faster TensorFlow models in Hugging Face Transformers |
|
|
| 382. |
Fit More and Train Faster With ZeRO via DeepSpeed and FairScale |
|
|
| 383. |
How we sped up transformer inference 100x for ???? API customers |
|
|
| 384. |
Leveraging Pre-trained Language Model Checkpoints for Encoder-Decoder Models |
|
|
| 385. |
Porting fairseq wmt19 translation system to transformers |
|
|
| 386. |
Hyperparameter Search with Transformers and Ray Tune |
|
|
| 387. |
Transformer-based Encoder-Decoder Models |
|
|
| 388. |
Block Sparse Matrices for Smaller and Faster Language Models |
|
|
| 389. |
The Reformer - Pushing the limits of language modeling |
|
|
| 390. |
How to generate text: using different decoding methods for language generation with Transformers |
|
|
| 391. |
How to train a new language model from scratch using Transformers and Tokenizers |
|
|
