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hyperquest
/
atom-classifier

Token Classification
Transformers
Safetensors
distilbert
semantic-parsing
hypergraph
nlp
Model card Files Files and versions
xet
Community

Instructions to use hyperquest/atom-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use hyperquest/atom-classifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="hyperquest/atom-classifier")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("hyperquest/atom-classifier")
    model = AutoModelForTokenClassification.from_pretrained("hyperquest/atom-classifier")
  • Notebooks
  • Google Colab
  • Kaggle
atom-classifier
543 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
Telmo's picture
Telmo
Retrained on 06-05-2026, new labels
95f58d6 verified about 1 month ago
  • .gitattributes
    1.52 kB
    initial commit 3 months ago
  • README.md
    3.86 kB
    Update README.md 3 months ago
  • config.json
    1.33 kB
    Retrained on 06-05-2026, new labels about 1 month ago
  • model.safetensors
    539 MB
    xet
    Retrained on 06-05-2026, new labels about 1 month ago
  • special_tokens_map.json
    125 Bytes
    Upload folder using huggingface_hub 3 months ago
  • tokenizer.json
    2.92 MB
    Retrained on 06-05-2026, new labels about 1 month ago
  • tokenizer_config.json
    1.23 kB
    Retrained on 06-05-2026, new labels about 1 month ago
  • training_args.bin
    4.73 kB
    xet
    Retrained on 06-05-2026, new labels about 1 month ago
  • vocab.txt
    996 kB
    Upload folder using huggingface_hub 3 months ago