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ymao20
/
contextcrumb-32m

Token Classification
Transformers
ONNX
Safetensors
modernbert
token-compression
context-compression
prompt-compression
agents
Model card Files Files and versions
xet
Community

Instructions to use ymao20/contextcrumb-32m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ymao20/contextcrumb-32m with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="ymao20/contextcrumb-32m")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("ymao20/contextcrumb-32m")
    model = AutoModelForTokenClassification.from_pretrained("ymao20/contextcrumb-32m")
  • Notebooks
  • Google Colab
  • Kaggle
contextcrumb-32m
264 MB
Ctrl+K
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  • 1 contributor
History: 8 commits
ymao20's picture
ymao20
Upload ContextCrumb model artifacts
13a8464 verified about 2 months ago
  • onnx
    Upload ContextCrumb model artifacts about 2 months ago
  • .gitattributes
    1.52 kB
    initial commit about 2 months ago
  • LICENSE
    11.6 kB
    Upload ContextCrumb-32M private model about 2 months ago
  • README.md
    2.05 kB
    Upload fine-tuned ContextCrumb model artifacts about 2 months ago
  • config.json
    1.43 kB
    Upload ContextCrumb model artifacts about 2 months ago
  • model.safetensors
    128 MB
    xet
    Upload ContextCrumb model artifacts about 2 months ago
  • tokenizer.json
    3.58 MB
    Upload ContextCrumb-32M private model about 2 months ago
  • tokenizer_config.json
    21.8 kB
    Upload ContextCrumb model artifacts about 2 months ago