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InstaDeepAI
/
segment_nt

Feature Extraction
Transformers
PyTorch
Joblib
esm
DNA
biology
genomics
segmentation
custom_code
Model card Files Files and versions
xet
Community
4

Instructions to use InstaDeepAI/segment_nt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use InstaDeepAI/segment_nt with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="InstaDeepAI/segment_nt", trust_remote_code=True)
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("InstaDeepAI/segment_nt", trust_remote_code=True)
    model = AutoModel.from_pretrained("InstaDeepAI/segment_nt", trust_remote_code=True)
  • Notebooks
  • Google Colab
  • Kaggle
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Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Adding `safetensors` variant of this model

#4 opened 4 months ago by
SFconvertbot

Adding `safetensors` variant of this model

#3 opened over 1 year ago by
SFconvertbot

Adding `safetensors` variant of this model

#2 opened over 1 year ago by
SFconvertbot

Adding `safetensors` variant of this model

#1 opened about 2 years ago by
SFconvertbot
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