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Waypoint-1.5: Higher-Fidelity Interactive Worlds for Everyday GPUs ALTK‑Evolve: On‑the‑Job Learning for AI Agents Safetensors is Joining the PyTorch Foundation Holo3: Breaking the Computer Use Frontier Any Custom Frontend with Gradio's Backend A New Framework for Evaluating Voice Agents (EVA) Bringing Robotics AI to Embedded Platforms: Dataset Recording, VLA Fine‑Tuning, and On‑Device Optimizations One-Shot Any Web App with Gradio's gr.HTML CUGA on Hugging Face: Democratizing Configurable AI Agents New in llama.cpp: Model Management Building Deep Research: How we Achieved State of the Art OVHcloud on Hugging Face Inference Providers 🔥 20x Faster TRL Fine-tuning with RapidFire AI Building for an Open Future - our new partnership with Google Cloud Aligning to What? Rethinking Agent Generalization in MiniMax M2 Building a Healthcare Robot from Simulation to Deployment with NVIDIA Isaac Sentence Transformers is joining Hugging Face! Unlock the power of images with AI Sheets Supercharge your OCR Pipelines with Open Models Google Cloud C4 Brings a 70% TCO improvement on GPT OSS with Intel and Hugging Face Get your VLM running in 3 simple steps on Intel CPUs Nemotron-Personas-India: Synthesized Data for Sovereign AI Introducing RTEB: A New Standard for Retrieval Evaluation Accelerating Qwen3-8B Agent on Intel® Core™ Ultra with Depth-Pruned Draft Models VibeGame: Exploring Vibe Coding Games Nemotron-Personas-Japan: ソブリン AI のための合成データセット Swift Transformers Reaches 1.0 – and Looks to the Future Smol2Operator: Post-Training GUI Agents for Computer Use SyGra: The One-Stop Framework for Building Data for LLMs and SLMs Gaia2 and ARE: Empowering the community to study agents Scaleway on Hugging Face Inference Providers 🔥 Democratizing AI Safety with RiskRubric.ai Public AI on Hugging Face Inference Providers 🔥 `LeRobotDataset:v3.0`: Bringing large-scale datasets to `lerobot` Visible Watermarking with Gradio Introducing the Palmyra-mini family: Powerful, lightweight, and ready to reason! 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Accelerate ND-Parallel: A guide to Efficient Multi-GPU Training Vision Language Model Alignment in TRL ⚡️ Welcome GPT OSS, the new open-source model family from OpenAI! Measuring Open-Source Llama Nemotron Models on DeepResearch Bench 📚 3LM: A Benchmark for Arabic LLMs in STEM and Code Implementing MCP Servers in Python: An AI Shopping Assistant with Gradio Introducing Trackio: A Lightweight Experiment Tracking Library from Hugging Face Say hello to `hf`: a faster, friendlier Hugging Face CLI ✨ Parquet Content-Defined Chunking TimeScope: How Long Can Your Video Large Multimodal Model Go? Fast LoRA inference for Flux with Diffusers and PEFT Accelerate a World of LLMs on Hugging Face with NVIDIA NIM Arc Virtual Cell Challenge: A Primer Consilium: When Multiple LLMs Collaborate Back to The Future: Evaluating AI Agents on Predicting Future Events Five Big Improvements to Gradio MCP Servers Ettin Suite: SoTA Paired Encoders and Decoders Migrating the Hub from Git LFS to Xet Kimina-Prover: Applying Test-time RL Search on Large Formal Reasoning Models Asynchronous Robot Inference: Decoupling Action Prediction and Execution ScreenEnv: Deploy your full stack Desktop Agent Building the Hugging Face MCP Server Reachy Mini - The Open-Source Robot for Today's and Tomorrow's AI Builders Creating custom kernels for the AMD MI300 Upskill your LLMs With Gradio MCP Servers SmolLM3: smol, multilingual, long-context reasoner Three Mighty Alerts Supporting Hugging Face’s Production Infrastructure Efficient MultiModal Data Pipeline Announcing NeurIPS 2025 E2LM Competition: Early Training Evaluation of Language Models Training and Finetuning Sparse Embedding Models with Sentence Transformers Welcome the NVIDIA Llama Nemotron Nano VLM to Hugging Face Hub Gemma 3n fully available in the open-source ecosystem! Transformers backend integration in SGLang (LoRA) Fine-Tuning FLUX.1-dev on Consumer Hardware Groq on Hugging Face Inference Providers 🔥 How Long Prompts Block Other Requests - Optimizing LLM Performance Learn the Hugging Face Kernel Hub in 5 Minutes Convert Transformers to ONNX with Hugging Face Optimum Intel and Hugging Face Partner to Democratize Machine Learning Hardware Acceleration Director of Machine Learning Insights [Part 3: Finance Edition] The Annotated Diffusion Model Deep Q-Learning with Space Invaders Graphcore and Hugging Face Launch New Lineup of IPU-Ready Transformers Introducing Pull Requests and Discussions 🥳 Efficient Table Pre-training without Real Data: An Introduction to TAPEX An Introduction to Q-Learning Part 2/2 How Sempre Health is leveraging the Expert Acceleration Program to accelerate their ML roadmap
How to Fine-Tune Nemotron 3.5 ASR for Your Language, Domain, or Accent
2026-06-04 · via Hugging Face - Blog
How to Fine-Tune Nemotron 3.5 ASR for Your Language, Domain, or Accent