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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from RamAnanth1/decision_transformers_half_cheetah: direct link, hf CLI and curl.
- Browser
- Download file 3.38 kB
-
https://huggingface.co/RamAnanth1/decision_transformers_half_cheetah/resolve/main/training_args.bin
- Command line
-
hf download hf://RamAnanth1/decision_transformers_half_cheetah/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/RamAnanth1/decision_transformers_half_cheetah/resolve/main/training_args.bin
3.38 kB
- Xet hash:
- 8b47311945c83196ad7774ed9342da356cbdace857a427f131c8239630729eb8
- Size of remote file:
- 3.38 kB
- SHA256:
- 8fe70623d5ba0f6c5c0d0d91d319e6edc14cc6f3c4d72077540f2c4823b4f653
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