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
Librarian Bot: Add base_model information to model
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by librarian-bot - opened
README.md
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@@ -3,6 +3,7 @@ datasets:
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- EvaKlimentova/knots_AF
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metrics:
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- accuracy
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---
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# Knots ProtBert-BFD AlphaFold
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- EvaKlimentova/knots_AF
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metrics:
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- accuracy
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base_model: ProtBert-BFD
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# Knots ProtBert-BFD AlphaFold
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