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 training_args.bin from HUBioDataLab/pdbbindfull_model: direct link, hf CLI and curl.
- Browser
- Download file 2.93 kB
-
https://huggingface.co/HUBioDataLab/pdbbindfull_model/resolve/main/training_args.bin
- Command line
-
hf download hf://HUBioDataLab/pdbbindfull_model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/HUBioDataLab/pdbbindfull_model/resolve/main/training_args.bin
2.93 kB
- Xet hash:
- 695868e332ea19a4fef2155053804f4bc1fdd8f7f1cd1fddabce8532e89ac976
- Size of remote file:
- 2.93 kB
- SHA256:
- e7c20e300fc0f89a9cbc3f36d83d87f965a132958a9f96addf740aaf2a30cea4
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