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IAMJB
/
RadEvalModernBERT

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

Instructions to use IAMJB/RadEvalModernBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use IAMJB/RadEvalModernBERT with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="IAMJB/RadEvalModernBERT")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("IAMJB/RadEvalModernBERT")
    model = AutoModel.from_pretrained("IAMJB/RadEvalModernBERT")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
RadEvalModernBERT
600 MB
Ctrl+K
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  • 1 contributor
History: 10 commits
IAMJB's picture
IAMJB
Update README.md
95c7f8b verified 4 months ago
  • .gitattributes
    1.52 kB
    initial commit 10 months ago
  • README.md
    5.95 kB
    Update README.md 4 months ago
  • config.json
    1.21 kB
    Upload model 10 months ago
  • model.safetensors
    596 MB
    xet
    Upload model 10 months ago
  • special_tokens_map.json
    694 Bytes
    Upload tokenizer 10 months ago
  • tokenizer.json
    3.58 MB
    Upload tokenizer 10 months ago
  • tokenizer_config.json
    21 kB
    Upload tokenizer 10 months ago