Reinforcement Learning
Transformers
PyTorch
decision_transformer
Generated from Trainer
deep-reinforcement-learning
decision-transformer
gym-continous-control
Instructions to use RamAnanth1/decision-transformers-walker2d-expert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RamAnanth1/decision-transformers-walker2d-expert with Transformers:
# Load model directly from transformers import AutoTokenizer, TrainableDT tokenizer = AutoTokenizer.from_pretrained("RamAnanth1/decision-transformers-walker2d-expert") model = TrainableDT.from_pretrained("RamAnanth1/decision-transformers-walker2d-expert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b84996258cf439ba926b68062331ba4b8fdf2c1429b5994408f09d7ddba2444d
- Size of remote file:
- 8.98 MB
- SHA256:
- d27651d066fd8659bdf9f1b4b549dbd28fe3b8bac7ead3f16555a9df7aa4bf2e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.