Reinforcement Learning
Transformers
PyTorch
decision_transformer
Generated from Trainer
deep-reinforcement-learning
decision-transformer
gym-continous-control
Instructions to use RamAnanth1/decision_transformers_half_cheetah with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RamAnanth1/decision_transformers_half_cheetah with Transformers:
# Load model directly from transformers import AutoTokenizer, TrainableDT tokenizer = AutoTokenizer.from_pretrained("RamAnanth1/decision_transformers_half_cheetah") model = TrainableDT.from_pretrained("RamAnanth1/decision_transformers_half_cheetah") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3014233a0c4211bc7978a7e1c74ebd2718d876f3580ce924a268814f43990921
- Size of remote file:
- 8.19 MB
- SHA256:
- cde038cb35838b51faeb16d17b70ed2c035efd0c9be250b4169bd1659cd7168e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.