Instructions to use HUBioDataLab/pdbbindfull_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HUBioDataLab/pdbbindfull_model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, RobertaForSelfiesClassification tokenizer = AutoTokenizer.from_pretrained("HUBioDataLab/pdbbindfull_model") model = RobertaForSelfiesClassification.from_pretrained("HUBioDataLab/pdbbindfull_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from HUBioDataLab/pdbbindfull_model: direct link, hf CLI and curl.
- Browser
- Download file 349 MB
-
https://huggingface.co/HUBioDataLab/pdbbindfull_model/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://HUBioDataLab/pdbbindfull_model/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/HUBioDataLab/pdbbindfull_model/resolve/main/pytorch_model.bin
349 MB
- Xet hash:
- b5239d9992e7b657cdc2db9ec46b9ee7f696fe6ce58479aa281c1c20a4adc424
- Size of remote file:
- 349 MB
- SHA256:
- 06f8fbd3d483a40043dfc4ed03d1d7f9d1c7387420b6f553e384b6d7e93d2f13
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