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:
# pip install -U transformers accelerate # 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
Download training_args.bin from HUBioDataLab/esol_model: direct link, hf CLI and curl.
- Browser
- Download file 2.93 kB
-
https://huggingface.co/HUBioDataLab/esol_model/resolve/main/training_args.bin
- Command line
-
hf download hf://HUBioDataLab/esol_model/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/HUBioDataLab/esol_model/resolve/main/training_args.bin
2.93 kB
- Xet hash:
- d532ba43829d739c18870278e58bbb1dd12fae05ea2e67b0a726a75402937d20
- Size of remote file:
- 2.93 kB
- SHA256:
- 2e70d540936d1af4eab804783634188cb1039b7caf62609f969280423a545121
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