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erickdp
/
mMiniLM-1215

Text Classification
Transformers
ONNX
xlm-roberta
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use erickdp/mMiniLM-1215 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use erickdp/mMiniLM-1215 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="erickdp/mMiniLM-1215")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("erickdp/mMiniLM-1215")
    model = AutoModelForSequenceClassification.from_pretrained("erickdp/mMiniLM-1215")
  • Notebooks
  • Google Colab
  • Kaggle
mMiniLM-1215
426 MB
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  • 1 contributor
History: 2 commits
erickdp's picture
erickdp
Upload 7 files
372b3b7 over 3 years ago
  • .gitattributes
    1.53 kB
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  • config.json
    872 Bytes
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  • model.onnx
    404 MB
    xet
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  • ort_config.json
    698 Bytes
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  • sentencepiece.bpe.model
    5.07 MB
    xet
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  • special_tokens_map.json
    280 Bytes
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  • tokenizer.json
    17.1 MB
    xet
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  • tokenizer_config.json
    497 Bytes
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