Reinforcement Learning
Transformers
PyTorch
decision_transformer
Generated from Trainer
deep-reinforcement-learning
decision-transformer
gym-continous-control
Instructions to use RamAnanth1/decision-transformers-hopper-expert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RamAnanth1/decision-transformers-hopper-expert with Transformers:
# Load model directly from transformers import AutoTokenizer, TrainableDT tokenizer = AutoTokenizer.from_pretrained("RamAnanth1/decision-transformers-hopper-expert") model = TrainableDT.from_pretrained("RamAnanth1/decision-transformers-hopper-expert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8ccbbe9c6b7e3d34b7b3763ac31cf84e8aa70351cc2e3bc9ee2b197cf8d2d255
- Size of remote file:
- 8.18 MB
- SHA256:
- c15ecbcb0227a27836f566e0bea7574d2f3279bc64230bae8e2c9037bf4c5325
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