Instructions to use soft-boy/decision_transformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use soft-boy/decision_transformer with Transformers:
# Load model directly from transformers import AutoTokenizer, TrainableDT tokenizer = AutoTokenizer.from_pretrained("soft-boy/decision_transformer") model = TrainableDT.from_pretrained("soft-boy/decision_transformer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ce6d3bc4b242db9cfa69aef0fb2c410f14d14d936fc8ab44a05245a1eb4edd4c
- Size of remote file:
- 4.98 kB
- SHA256:
- cb7887d99a17456b4afe1f077366e16eedb23cd9d43f129e27a14dd8166bd31c
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