Instructions to use nepp1d0/prot_bert-finetuned-smiles-bindingDB with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nepp1d0/prot_bert-finetuned-smiles-bindingDB with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="nepp1d0/prot_bert-finetuned-smiles-bindingDB")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("nepp1d0/prot_bert-finetuned-smiles-bindingDB") model = AutoModelForMaskedLM.from_pretrained("nepp1d0/prot_bert-finetuned-smiles-bindingDB", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2a71295665b0256ef2bee05b0b6078bc70f19b4b8a4a784706316315915cfb40
- Size of remote file:
- 1.68 GB
- SHA256:
- 30a6c697a9038ef25e17b95661c4d7168f291698a71489cbea2aa7f9c1b4a0bc
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