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:
- d5dec93763d541b7fcbbf0e585cd8ec306484c40723b168b754d9cf82964efe5
- Size of remote file:
- 3.38 kB
- SHA256:
- 50cfa8dd338515f1465ec3b6a7cd595cc3fbe3c1f05df3eb2bfd59fad141c3e4
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