Instructions to use HUBioDataLab/lipo_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HUBioDataLab/lipo_model with Transformers:
# Load model directly from transformers import AutoTokenizer, RobertaForSelfiesClassification tokenizer = AutoTokenizer.from_pretrained("HUBioDataLab/lipo_model") model = RobertaForSelfiesClassification.from_pretrained("HUBioDataLab/lipo_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 344d1aebc4c536faac573c24b7550563b4e6a966e0922823740e1fa20998a37c
- Size of remote file:
- 693 MB
- SHA256:
- 6ae424f57818b8c7281b11882188d0bc5b57e056c5f77a07be5c101a115f148f
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