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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d57596adbae2946035708d5b5c20a85b1308f9e072c3a09c6856fb796a1b5c6b
- Size of remote file:
- 3.38 kB
- SHA256:
- 20e5120af4f3749d986335a35f3737e930906620a0418261e3c315383dc0684e
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