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hf-tiny-model-private
/
tiny-random-PerceiverModel

Feature Extraction
Transformers
PyTorch
perceiver
Model card Files Files and versions
xet
Community

Instructions to use hf-tiny-model-private/tiny-random-PerceiverModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use hf-tiny-model-private/tiny-random-PerceiverModel with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="hf-tiny-model-private/tiny-random-PerceiverModel")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-PerceiverModel")
    model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-PerceiverModel")
  • Notebooks
  • Google Colab
  • Kaggle
tiny-random-PerceiverModel
208 kB
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  • 1 contributor
History: 2 commits
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hf-transformers-bot
Upload tiny models for PerceiverModel
e9cb9cf about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • config.json
    1.05 kB
    Upload tiny models for PerceiverModel about 3 years ago
  • preprocessor_config.json
    423 Bytes
    Upload tiny models for PerceiverModel about 3 years ago
  • pytorch_model.bin
    203 kB
    xet
    Upload tiny models for PerceiverModel about 3 years ago
  • special_tokens_map.json
    827 Bytes
    Upload tiny models for PerceiverModel about 3 years ago
  • tokenizer_config.json
    1.28 kB
    Upload tiny models for PerceiverModel about 3 years ago