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:
- a9965407e4d19676c1445fb3b746a3f3698295041959680f09e0d806c245eef3
- Size of remote file:
- 3.38 kB
- SHA256:
- a0f0a967f150f26b9a82576604412430642a1527fe98b54769ceb4c4f53dfffb
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