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:
- 7eecc6d4715ad420478900389bd8361442784d3e3dc636be43acfbae0ce78774
- Size of remote file:
- 8.19 MB
- SHA256:
- 30fbd4595ef685e6fa476f3f3071bddaf9694820a026e812f9fcd707e9e7e5b0
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