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:
- 0d0166c84ff6deaa8fab13863cc04c24c10c34d8ea631ffd7c2b9957faddd6b4
- Size of remote file:
- 3.12 kB
- SHA256:
- ddf4c921a5213020c739389c11b73d6ee4bb9815653d0ff706d4bdb90801d3af
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