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ybelkada
/
hubert-tiny-random

Feature Extraction
Transformers
PyTorch
hubert
Model card Files Files and versions
xet
Community
1

Instructions to use ybelkada/hubert-tiny-random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ybelkada/hubert-tiny-random with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="ybelkada/hubert-tiny-random")
    # Load model directly
    from transformers import AutoProcessor, AutoModel
    
    processor = AutoProcessor.from_pretrained("ybelkada/hubert-tiny-random")
    model = AutoModel.from_pretrained("ybelkada/hubert-tiny-random")
  • Notebooks
  • Google Colab
  • Kaggle
hubert-tiny-random
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  • 2 contributors
History: 6 commits
ybelkada's picture
ybelkada
Upload processor
6f02d4c about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • config.json
    1.54 kB
    Upload model over 3 years ago
  • preprocessor_config.json
    254 Bytes
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  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    24 MB
    xet
    Upload model over 3 years ago
  • special_tokens_map.json
    96 Bytes
    Upload processor about 3 years ago
  • tokenizer_config.json
    531 Bytes
    Upload processor about 3 years ago
  • vocab.json
    358 Bytes
    Upload processor about 3 years ago