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5p33ch3xpr
/
XLS-R-with-LM

Automatic Speech Recognition
Transformers
PyTorch
wav2vec2
Model card Files Files and versions
xet
Community
1

Instructions to use 5p33ch3xpr/XLS-R-with-LM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use 5p33ch3xpr/XLS-R-with-LM with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="5p33ch3xpr/XLS-R-with-LM")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("5p33ch3xpr/XLS-R-with-LM")
    model = AutoModelForCTC.from_pretrained("5p33ch3xpr/XLS-R-with-LM")
  • Notebooks
  • Google Colab
  • Kaggle
XLS-R-with-LM
1.4 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
5p33ch3xpr's picture
5p33ch3xpr
Removed special chars
8541702 over 3 years ago
  • language_model
    Upload model over 3 years ago
  • .gitattributes
    1.54 kB
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  • README.md
    28 Bytes
    initial commit over 3 years ago
  • added_tokens.json
    3 Bytes
    Removed special chars over 3 years ago
  • alphabet.json
    738 Bytes
    Removed two characters over 3 years ago
  • config.json
    2.03 kB
    Upload pro trained model over 3 years ago
  • preprocessor_config.json
    262 Bytes
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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
    xet
    Upload pro trained model over 3 years ago
  • special_tokens_map.json
    93 Bytes
    Removed extra tokens over 3 years ago
  • tokenizer_config.json
    501 Bytes
    Removed special chars over 3 years ago
  • vocab.json
    931 Bytes
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