Instructions to use TobiTob/decision_transformer_random2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TobiTob/decision_transformer_random2 with Transformers:
# Load model directly from transformers import AutoTokenizer, TrainableDT tokenizer = AutoTokenizer.from_pretrained("TobiTob/decision_transformer_random2") model = TrainableDT.from_pretrained("TobiTob/decision_transformer_random2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a53503d5b0de12b4c733e7d84cf1205776829a078a36b8b45e7e10e0461473ee
- Size of remote file:
- 8.2 MB
- SHA256:
- 654b32071e89e752622008188d0f5f59db8879a237e63df1f42a20f524974dfa
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