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taiqihe
/
test-w2v-bert-dummy

Feature Extraction
Transformers
Safetensors
wav2vec2-bert
Model card Files Files and versions
xet
Community

Instructions to use taiqihe/test-w2v-bert-dummy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use taiqihe/test-w2v-bert-dummy with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="taiqihe/test-w2v-bert-dummy")
    # Load model directly
    from transformers import AutoProcessor, AutoModel
    
    processor = AutoProcessor.from_pretrained("taiqihe/test-w2v-bert-dummy")
    model = AutoModel.from_pretrained("taiqihe/test-w2v-bert-dummy")
  • Notebooks
  • Google Colab
  • Kaggle
test-w2v-bert-dummy
97.4 MB
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  • 1 contributor
History: 3 commits
taiqihe's picture
taiqihe
Upload preprocessor_config.json
80bbcb3 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    5.17 kB
    Upload model over 1 year ago
  • config.json
    1.91 kB
    Upload model over 1 year ago
  • model.safetensors
    97.4 MB
    xet
    Upload model over 1 year ago
  • preprocessor_config.json
    275 Bytes
    Upload preprocessor_config.json over 1 year ago