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aromo17
/
modernbert-embed-base

Feature Extraction
Transformers
Safetensors
modernbert
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use aromo17/modernbert-embed-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use aromo17/modernbert-embed-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="aromo17/modernbert-embed-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("aromo17/modernbert-embed-base")
    model = AutoModel.from_pretrained("aromo17/modernbert-embed-base")
  • Notebooks
  • Google Colab
  • Kaggle
modernbert-embed-base
605 MB
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  • 1 contributor
History: 4 commits
aromo17's picture
aromo17
Upload model
9856f9d verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    5.17 kB
    Upload tokenizer over 1 year ago
  • config.json
    1.3 kB
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  • model.safetensors
    601 MB
    xet
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  • special_tokens_map.json
    797 Bytes
    Upload tokenizer over 1 year ago
  • tokenizer.json
    3.79 MB
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  • tokenizer_config.json
    1.66 kB
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