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bclavie
/
mini-base

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

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

  • Libraries
  • Transformers

    How to use bclavie/mini-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="bclavie/mini-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("bclavie/mini-base")
    model = AutoModel.from_pretrained("bclavie/mini-base")
  • Notebooks
  • Google Colab
  • Kaggle
mini-base
134 MB
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  • 1 contributor
History: 3 commits
bclavie's picture
bclavie
Upload tokenizer
9677561 verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    5.17 kB
    Upload model almost 2 years ago
  • config.json
    706 Bytes
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  • model.safetensors
    133 MB
    xet
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  • special_tokens_map.json
    695 Bytes
    Upload tokenizer almost 2 years ago
  • tokenizer.json
    711 kB
    Upload tokenizer almost 2 years ago
  • tokenizer_config.json
    1.24 kB
    Upload tokenizer almost 2 years ago
  • vocab.txt
    232 kB
    Upload tokenizer almost 2 years ago