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Mass-14
/
MNLP_M2_document_encoder

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

Instructions to use Mass-14/MNLP_M2_document_encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Mass-14/MNLP_M2_document_encoder with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Mass-14/MNLP_M2_document_encoder")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("Mass-14/MNLP_M2_document_encoder")
    model = AutoModel.from_pretrained("Mass-14/MNLP_M2_document_encoder")
  • Notebooks
  • Google Colab
  • Kaggle
MNLP_M2_document_encoder
1.52 kB
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  • 1 contributor
History: 1 commit
Mass-14's picture
Mass-14
initial commit
deeb8ef verified 12 months ago
  • .gitattributes
    1.52 kB
    initial commit 12 months ago