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JulesBelveze
/
labse-bfloat16

Feature Extraction
Transformers
PyTorch
bert
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use JulesBelveze/labse-bfloat16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use JulesBelveze/labse-bfloat16 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="JulesBelveze/labse-bfloat16")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("JulesBelveze/labse-bfloat16")
    model = AutoModel.from_pretrained("JulesBelveze/labse-bfloat16")
  • Notebooks
  • Google Colab
  • Kaggle
labse-bfloat16 / 1_Pooling
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  • 1 contributor
History: 1 commit
JulesBelveze's picture
JulesBelveze
Upload 3 files
9098fb6 over 2 years ago
  • config.json
    190 Bytes
    Upload 3 files over 2 years ago