Instructions to use roa7n/knots_protbertBFD_alphafold with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use roa7n/knots_protbertBFD_alphafold with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="roa7n/knots_protbertBFD_alphafold")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("roa7n/knots_protbertBFD_alphafold") model = AutoModelForSequenceClassification.from_pretrained("roa7n/knots_protbertBFD_alphafold") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5b2789ec5d5e7d74d8f5a8e500e4e90325ec6e226891ad3f115e735c9d1e24be
- Size of remote file:
- 1.68 GB
- SHA256:
- 973a72bc1d38227683b1d4fb631da7e27ad763377928394c169b59e2021ca40e
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