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IIC
/
MEL

Feature Extraction
Transformers
Safetensors
Spanish
xlm-roberta
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use IIC/MEL with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="IIC/MEL")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("IIC/MEL")
    model = AutoModel.from_pretrained("IIC/MEL")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
MEL
2.26 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 40 commits
dabs-iic's picture
dabs-iic
Update README.md
4584d59 verified 11 months ago
  • .gitattributes
    1.57 kB
    Upload tokenizer about 1 year ago
  • LICENSE
    8.4 kB
    Update LICENSE 12 months ago
  • README.md
    7.31 kB
    Update README.md 11 months ago
  • config.json
    757 Bytes
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  • model.safetensors
    2.24 GB
    xet
    Upload model about 1 year ago
  • sentencepiece.bpe.model
    5.07 MB
    xet
    Upload tokenizer about 1 year ago
  • special_tokens_map.json
    964 Bytes
    Upload tokenizer about 1 year ago
  • tokenizer.json
    17.1 MB
    xet
    Upload tokenizer about 1 year ago
  • tokenizer_config.json
    1.15 kB
    Upload tokenizer about 1 year ago