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:
- 47f4dfc41cb6c165ef6ede28458b5519d2bdd41efc87d7951ebd29c4566f9410
- Size of remote file:
- 1.68 GB
- SHA256:
- 128218ad91e0c3d3e070436bbbdaf438ed801d7b250e728d19fe33dd7f587b2f
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