Google DeepMind releases FunctionGemma, a 240M model specialized in 🔧 tool calling, built for fine-tuning
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Google DeepMind releases FunctionGemma, a 240M model specialized in 🔧 tool calling, built for fine-tuning
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TRL has day-0 support. To celebrate, we’re sharing 2 new resources:
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TRL has day-0 support. To celebrate, we’re sharing 2 new resources:
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> Colab guide to fine-tune it for 🌐 browser control with BrowserGym OpenEnv
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> Colab guide to fine-tune it for 🌐 browser control with BrowserGym OpenEnv
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> Standalone training script
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> Standalone training script
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> Colab notebook: 
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> Colab notebook: 
https://colab.research.google.com/github/huggingface/trl/blob/main/examples/notebooks/grpo_functiongemma_browsergym_openenv.ipynb
https://colab.research.google.com/github/huggingface/trl/blob/main/examples/notebooks/grpo_functiongemma_browsergym_openenv.ipynb
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> Training script: 
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> Training script: 
https://github.com/huggingface/trl/blob/main/examples/scripts/openenv/browsergym_llm.py
https://github.com/huggingface/trl/blob/main/examples/scripts/openenv/browsergym_llm.py
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 (command to run it inside the script)
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 (command to run it inside the script)
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> More notebooks in TRL: 
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> More notebooks in TRL: 
https://huggingface.co/docs/trl/example_overview#notebooks
https://huggingface.co/docs/trl/example_overview#notebooks
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Google DeepMind releases FunctionGemma, a 240M model specialized in 🔧 tool calling, built for fine-tuning

TRL has day-0 support. To celebrate, we’re sharing 2 new resources:

> Colab guide to fine-tune it for 🌐 browser control with BrowserGym OpenEnv
> Standalone training script

> Colab notebook: https://colab.research.google.com/github/huggingface/trl/blob/main/examples/notebooks/grpo_functiongemma_browsergym_openenv.ipynb 
> Training script: https://github.com/huggingface/trl/blob/main/examples/scripts/openenv/browsergym_llm.py (command to run it inside the script)
> More notebooks in TRL: https://huggingface.co/docs/trl/example_overview#notebooks
🚀
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