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tcapelle
/
random-tiny-modernbert

Text Classification
Transformers
Safetensors
modernbert
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use tcapelle/random-tiny-modernbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use tcapelle/random-tiny-modernbert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="tcapelle/random-tiny-modernbert")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("tcapelle/random-tiny-modernbert")
    model = AutoModelForSequenceClassification.from_pretrained("tcapelle/random-tiny-modernbert")
  • Notebooks
  • Google Colab
  • Kaggle
random-tiny-modernbert
10.1 MB
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  • 1 contributor
History: 3 commits
tcapelle's picture
tcapelle
Upload TextClassificationPipeline
7996b10 verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    5.17 kB
    Upload TextClassificationPipeline about 1 year ago
  • config.json
    1.31 kB
    Upload TextClassificationPipeline about 1 year ago
  • model.safetensors
    6.54 MB
    xet
    Upload TextClassificationPipeline about 1 year ago
  • special_tokens_map.json
    694 Bytes
    Upload TextClassificationPipeline about 1 year ago
  • tokenizer.json
    3.58 MB
    Upload TextClassificationPipeline about 1 year ago
  • tokenizer_config.json
    20.8 kB
    Upload TextClassificationPipeline about 1 year ago