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:
- 54634c212838e30f49c97430d6e928d7984b2a0ab6a729e71edaa7b27562598d
- Size of remote file:
- 8.19 MB
- SHA256:
- a37258d2e12af2bfb5e6ff38fc0f716eb272e397483878c8e9ebc4f5a6a2f335
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