Instructions to use danieladejumo/decision_transformer_half_cheetah with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use danieladejumo/decision_transformer_half_cheetah with Transformers:
# Load model directly from transformers import AutoTokenizer, TrainableDT tokenizer = AutoTokenizer.from_pretrained("danieladejumo/decision_transformer_half_cheetah") model = TrainableDT.from_pretrained("danieladejumo/decision_transformer_half_cheetah") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 94fc5e160efa9edb4d55c455bd3d56dbf20457a81ceb61f2b9ef8166c07dc1f3
- Size of remote file:
- 3.38 kB
- SHA256:
- d53a3ed3b337b7f3966fdb8e05b3b5fee20e13051da6f8ee8e7ec9a907d54720
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