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fleonce
/
ModernBERT-random

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

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

  • Libraries
  • Transformers

    How to use fleonce/ModernBERT-random with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="fleonce/ModernBERT-random")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("fleonce/ModernBERT-random")
    model = AutoModel.from_pretrained("fleonce/ModernBERT-random")
  • Notebooks
  • Google Colab
  • Kaggle
ModernBERT-random
600 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
fleonce's picture
fleonce
Update README.md
fd2c2ef verified 6 months ago
  • .gitattributes
    1.52 kB
    initial commit 6 months ago
  • README.md
    126 Bytes
    Update README.md 6 months ago
  • config.json
    1.21 kB
    Initial commit 6 months ago
  • model.safetensors
    596 MB
    xet
    Initial commit 6 months ago
  • special_tokens_map.json
    694 Bytes
    Add tokenizer 6 months ago
  • tokenizer.json
    3.58 MB
    Add tokenizer 6 months ago
  • tokenizer_config.json
    20.8 kB
    Add tokenizer 6 months ago