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antoinelouis
/
camemberta-L2

Feature Extraction
Transformers
Safetensors
French
deberta-v2
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use antoinelouis/camemberta-L2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use antoinelouis/camemberta-L2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="antoinelouis/camemberta-L2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("antoinelouis/camemberta-L2")
    model = AutoModel.from_pretrained("antoinelouis/camemberta-L2")
  • Notebooks
  • Google Colab
  • Kaggle
camemberta-L2
167 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
antoinelouis's picture
antoinelouis
Create README.md
9c0b8f7 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    2.65 kB
    Create README.md about 2 years ago
  • added_tokens.json
    39 Bytes
    Upload folder using huggingface_hub about 2 years ago
  • config.json
    979 Bytes
    Upload folder using huggingface_hub about 2 years ago
  • model.safetensors
    164 MB
    xet
    Upload folder using huggingface_hub about 2 years ago
  • special_tokens_map.json
    971 Bytes
    Upload folder using huggingface_hub about 2 years ago
  • spm.model
    809 kB
    xet
    Upload folder using huggingface_hub about 2 years ago
  • tokenizer.json
    2.42 MB
    Upload folder using huggingface_hub about 2 years ago
  • tokenizer_config.json
    1.29 kB
    Upload folder using huggingface_hub about 2 years ago