Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

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
30.5 kB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 2 commits
hdallatorre's picture
hdallatorre
Upload tokenizer
40125c5 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • special_tokens_map.json
    101 Bytes
    Upload tokenizer about 2 years ago
  • tokenizer_config.json
    129 Bytes
    Upload tokenizer about 2 years ago
  • vocab.txt
    28.7 kB
    Upload tokenizer about 2 years ago