Instructions to use Rostlab/prot_bert_bfd_localization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rostlab/prot_bert_bfd_localization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Rostlab/prot_bert_bfd_localization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Rostlab/prot_bert_bfd_localization") model = AutoModelForSequenceClassification.from_pretrained("Rostlab/prot_bert_bfd_localization") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8b54014f51f7a13680d4e3343ddb5320f96738793aa4d3855095a46aae1f59f2
- Size of remote file:
- 1.68 GB
- SHA256:
- 932edd5f1b078938f33725db83c7071c7fc2dada56177eeb6bbf892aa21bfc8a
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