Instructions to use TobiTob/decision_transformer_merged3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TobiTob/decision_transformer_merged3 with Transformers:
# Load model directly from transformers import AutoTokenizer, TrainableDT tokenizer = AutoTokenizer.from_pretrained("TobiTob/decision_transformer_merged3") model = TrainableDT.from_pretrained("TobiTob/decision_transformer_merged3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b545e148d857faed2f71d31e1fab076c2456037a911cd5f3627890220b41801b
- Size of remote file:
- 352 Bytes
- SHA256:
- ffeb39e44bb4217d24fcda3b311267da1ca72055c39a4be7708183780cc5ae68
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.