Instructions to use debbiesoon/prot_bert_bfd-disoDNA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use debbiesoon/prot_bert_bfd-disoDNA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="debbiesoon/prot_bert_bfd-disoDNA")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("debbiesoon/prot_bert_bfd-disoDNA") model = AutoModelForTokenClassification.from_pretrained("debbiesoon/prot_bert_bfd-disoDNA", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 26fc54c072dd6538b042c98c437169f03186ee16e2b8ec8ec083afd7c0be719e
- Size of remote file:
- 1.68 GB
- SHA256:
- bc43be6ce40a4053daf1e37638781d627af1ad78cb2b066a94170c1bf724c32b
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