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:
# pip install -U transformers accelerate # 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
Download training_args.bin from HUBioDataLab/lipo_model: direct link, hf CLI and curl.
- Browser
- Download file 2.93 kB
-
https://huggingface.co/HUBioDataLab/lipo_model/resolve/main/training_args.bin
- Command line
-
hf download hf://HUBioDataLab/lipo_model/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/HUBioDataLab/lipo_model/resolve/main/training_args.bin
2.93 kB
- Xet hash:
- 76538df48742172ef94a9ec40f82ae68e6af936cbe22919d81294df920c7aee9
- Size of remote file:
- 2.93 kB
- SHA256:
- 28de34ee8013d54b9b537082795de541af9b7e6264c92b19a1cb5e5e3df7cfdb
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