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ntu-spml
/
distilhubert

Feature Extraction
Transformers
PyTorch
Safetensors
English
hubert
speech
Model card Files Files and versions
xet
Community
2

Instructions to use ntu-spml/distilhubert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ntu-spml/distilhubert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="ntu-spml/distilhubert")
    # Load model directly
    from transformers import AutoProcessor, AutoModel
    
    processor = AutoProcessor.from_pretrained("ntu-spml/distilhubert")
    model = AutoModel.from_pretrained("ntu-spml/distilhubert")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
distilhubert
188 MB
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  • 5 contributors
History: 8 commits
voidful's picture
voidful
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#1)
fa87d96 almost 3 years ago
  • .gitattributes
    1.23 kB
    Adding `safetensors` variant of this model (#1) almost 3 years ago
  • README.md
    2.05 kB
    Update README.md over 4 years ago
  • config.json
    1.3 kB
    Modify weights over 4 years ago
  • model.safetensors
    94 MB
    xet
    Adding `safetensors` variant of this model (#1) almost 3 years ago
  • preprocessor_config.json
    214 Bytes
    Upload over 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch._utils._rebuild_tensor_v2",
    • "collections.OrderedDict",
    • "torch.FloatStorage"

    What is a pickle import?

    94 MB
    xet
    Modify weights over 4 years ago