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Adithya S K
AdithyaSK
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TRL v1.0 is out! Hugging Face's TRL library is downloaded 3 million times a month. Over 130k models trained with it are public on the Hub, and major projects like @unsloth and @axolotl-ai-co build directly on top of it. v1.0 is the moment we acknowledged that responsibility explicitly, with a real stability contract. The field hasn't settled. Building stable software in a domain that keeps invalidating its own assumptions is the actual problem we're solving. The answer is a design that can absorb the next shift without breaking what people rely on. What's in v1.0: Deep Hugging Face integration, low infrastructure burden What's next: asynchronous GRPO, better scaling support, and making training legible enough that agents can inspect and steer it. ``` pip install --upgrade trl ``` Read more: hf.co/blog/trl-v1
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Running
RL
Jupyter Agent
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Run Python code in an interactive notebook
Running
on
Zero
9
NetraEmbed
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Universal Multilingual Multimodal Document Retrieval