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anton-l
/
wav2vec2-large-xlsr-53-russian

Automatic Speech Recognition
Transformers
PyTorch
JAX
Russian
wav2vec2
audio
speech
xlsr-fine-tuning-week
Eval Results (legacy)
Model card Files Files and versions
xet
Community
2

Instructions to use anton-l/wav2vec2-large-xlsr-53-russian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use anton-l/wav2vec2-large-xlsr-53-russian with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="anton-l/wav2vec2-large-xlsr-53-russian")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("anton-l/wav2vec2-large-xlsr-53-russian")
    model = AutoModelForCTC.from_pretrained("anton-l/wav2vec2-large-xlsr-53-russian")
  • Notebooks
  • Google Colab
  • Kaggle
wav2vec2-large-xlsr-53-russian
2.52 GB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 11 commits
Patrick von Platen
upload flax model
85cb347 almost 5 years ago
  • .gitattributes
    736 Bytes
    allow flax almost 5 years ago
  • README.md
    4.3 kB
    aaand more tab fixes about 5 years ago
  • config.json
    1.57 kB
    Add model about 5 years ago
  • flax_model.msgpack
    1.26 GB
    xet
    upload flax model almost 5 years ago
  • preprocessor_config.json
    158 Bytes
    Initial commit (commonvoice only) about 5 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    1.26 GB
    xet
    Add model about 5 years ago
  • special_tokens_map.json
    85 Bytes
    Initial commit (commonvoice only) about 5 years ago
  • tokenizer_config.json
    138 Bytes
    Initial commit (commonvoice only) about 5 years ago
  • vocab.json
    516 Bytes
    Initial commit (commonvoice only) about 5 years ago