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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
segment_nt / jax_model
2.25 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 2 commits
hdallatorre's picture
hdallatorre
Upload jax_model/hyperparams.json with huggingface_hub
63e97d3 verified almost 2 years ago
  • hyperparams.json
    1.09 kB
    Upload jax_model/hyperparams.json with huggingface_hub almost 2 years ago
  • pytree_ckpt.joblib
    2.25 GB
    xet
    Upload jax_model/pytree_ckpt.joblib with huggingface_hub almost 2 years ago