Reinforcement Learning
Transformers
Safetensors
jat
text-generation
atari
babyai
metaworld
mujoco-ant
mujoco
custom_code
Eval Results (legacy)
Instructions to use jat-project/jat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jat-project/jat with Transformers:
# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("jat-project/jat", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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```bibtex
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@article{gallouedec2024jack,
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title = {{Jack of All Trades, Master of Some
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author = {Gallouédec, Quentin and Beeching, Edward and Romac, Clément and Dellandréa, Emmanuel},
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journal = {arXiv preprint arXiv:2402.09844},
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year = {2024},
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```bibtex
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@article{gallouedec2024jack,
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title = {{Jack of All Trades, Master of Some, a Multi-Purpose Transformer Agent}},
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author = {Gallouédec, Quentin and Beeching, Edward and Romac, Clément and Dellandréa, Emmanuel},
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journal = {arXiv preprint arXiv:2402.09844},
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year = {2024},
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