Instructions to use HUBioDataLab/esol_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HUBioDataLab/esol_model with Transformers:
# Load model directly from transformers import AutoTokenizer, RobertaForSelfiesClassification tokenizer = AutoTokenizer.from_pretrained("HUBioDataLab/esol_model") model = RobertaForSelfiesClassification.from_pretrained("HUBioDataLab/esol_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 287811279821c274032721eebaa6b773c4d9db8ee4c82da71469aa4d0ac5dc4a
- Size of remote file:
- 693 MB
- SHA256:
- 1130a540f3636f511b1e5efb15636e4160ca542f13b4df33179e67fd454f6fc9
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