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kalyan-ks
/
Ammu-1.0-FactCheck-Need-tiny

Text Classification
Transformers
Safetensors
English
modernbert
fact-checking
semantic-router
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use kalyan-ks/Ammu-1.0-FactCheck-Need-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use kalyan-ks/Ammu-1.0-FactCheck-Need-tiny with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="kalyan-ks/Ammu-1.0-FactCheck-Need-tiny")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("kalyan-ks/Ammu-1.0-FactCheck-Need-tiny")
    model = AutoModelForSequenceClassification.from_pretrained("kalyan-ks/Ammu-1.0-FactCheck-Need-tiny", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Ammu-1.0-FactCheck-Need-tiny
132 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
kalyan-ks's picture
kalyan-ks
Update README.md
abe5e27 verified 4 days ago
  • .gitattributes
    1.52 kB
    initial commit 7 days ago
  • README.md
    5.85 kB
    Update README.md 4 days ago
  • config.json
    1.89 kB
    Upload ModernBertForSequenceClassification 7 days ago
  • model.safetensors
    128 MB
    xet
    Upload ModernBertForSequenceClassification 7 days ago
  • tokenizer.json
    3.58 MB
    Upload tokenizer 7 days ago
  • tokenizer_config.json
    488 Bytes
    Upload tokenizer 7 days ago