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sumedh
/
wav2vec2-large-xlsr-marathi

Automatic Speech Recognition
Transformers
PyTorch
Safetensors
Marathi
wav2vec2
audio
speech
xlsr-fine-tuning-week
Eval Results (legacy)
Model card Files Files and versions
xet
Community
3

Instructions to use sumedh/wav2vec2-large-xlsr-marathi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use sumedh/wav2vec2-large-xlsr-marathi with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="sumedh/wav2vec2-large-xlsr-marathi")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("sumedh/wav2vec2-large-xlsr-marathi")
    model = AutoModelForCTC.from_pretrained("sumedh/wav2vec2-large-xlsr-marathi")
  • Notebooks
  • Google Colab
  • Kaggle
wav2vec2-large-xlsr-marathi
2.52 GB
Ctrl+K
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  • 4 contributors
History: 11 commits
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SFconvertbot
Adding `safetensors` variant of this model
aa18e15 verified over 1 year ago
  • .gitattributes
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  • README.md
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  • config.json
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  • model.safetensors
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  • preprocessor_config.json
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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?

    1.26 GB
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  • special_tokens_map.json
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  • tokenizer_config.json
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  • vocab.json
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