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seqSight
/
seqsight_esm_4096_512_55M_plasmid_2026_V2_New_data

Text Classification
Transformers
Safetensors
esm
custom_code
Model card Files Files and versions
xet
Community

Instructions to use seqSight/seqsight_esm_4096_512_55M_plasmid_2026_V2_New_data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use seqSight/seqsight_esm_4096_512_55M_plasmid_2026_V2_New_data with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="seqSight/seqsight_esm_4096_512_55M_plasmid_2026_V2_New_data", trust_remote_code=True)
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("seqSight/seqsight_esm_4096_512_55M_plasmid_2026_V2_New_data", trust_remote_code=True)
    model = AutoModelForSequenceClassification.from_pretrained("seqSight/seqsight_esm_4096_512_55M_plasmid_2026_V2_New_data", trust_remote_code=True)
  • Notebooks
  • Google Colab
  • Kaggle
seqsight_esm_4096_512_55M_plasmid_2026_V2_New_data
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  • 1 contributor
History: 4 commits
Ajinkya29197's picture
Ajinkya29197
Upload model.safetensors with huggingface_hub
16a2136 verified 3 months ago
  • .gitattributes
    1.52 kB
    initial commit 3 months ago
  • README.md
    5.17 kB
    Upload tokenizer 3 months ago
  • config.json
    1.44 kB
    Upload EsmForSequenceClassification 3 months ago
  • model.safetensors
    212 MB
    xet
    Upload model.safetensors with huggingface_hub 3 months ago
  • special_tokens_map.json
    556 Bytes
    Upload tokenizer 3 months ago
  • tokenizer.json
    167 kB
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  • tokenizer_config.json
    1.16 kB
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