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LeBenchmark
/
wav2vec2-FR-2.6K-base

Feature Extraction
Transformers
PyTorch
Safetensors
French
wav2vec2
Model card Files Files and versions
xet
Community
1

Instructions to use LeBenchmark/wav2vec2-FR-2.6K-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use LeBenchmark/wav2vec2-FR-2.6K-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="LeBenchmark/wav2vec2-FR-2.6K-base")
    # Load model directly
    from transformers import AutoProcessor, AutoModel
    
    processor = AutoProcessor.from_pretrained("LeBenchmark/wav2vec2-FR-2.6K-base")
    model = AutoModel.from_pretrained("LeBenchmark/wav2vec2-FR-2.6K-base")
  • Notebooks
  • Google Colab
  • Kaggle
wav2vec2-FR-2.6K-base
1.9 GB
Ctrl+K
Ctrl+K
  • 6 contributors
History: 9 commits
mzboito's picture
mzboito
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#1)
d008b1b verified over 1 year ago
  • .gitattributes
    791 Bytes
    Adding `safetensors` variant of this model (#1) over 1 year ago
  • README.md
    5.62 kB
    Update info almost 3 years ago
  • checkpoint_best.pt
    1.14 GB
    xet
    upload almost 5 years ago
  • config.json
    1.58 kB
    model card and configs almost 5 years ago
  • model.safetensors
    378 MB
    xet
    Adding `safetensors` variant of this model (#1) over 1 year ago
  • preprocessor_config.json
    159 Bytes
    model card and configs almost 5 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    378 MB
    xet
    upload almost 5 years ago