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classla
/
wav2vec2-xls-r-parlaspeech-hr-lm

Automatic Speech Recognition
Transformers
PyTorch
Safetensors
Croatian
wav2vec2
audio
parlaspeech
Model card Files Files and versions
xet
Community
2

Instructions to use classla/wav2vec2-xls-r-parlaspeech-hr-lm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use classla/wav2vec2-xls-r-parlaspeech-hr-lm with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="classla/wav2vec2-xls-r-parlaspeech-hr-lm")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("classla/wav2vec2-xls-r-parlaspeech-hr-lm")
    model = AutoModelForCTC.from_pretrained("classla/wav2vec2-xls-r-parlaspeech-hr-lm", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
wav2vec2-xls-r-parlaspeech-hr-lm
3.39 GB
Ctrl+K
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  • 3 contributors
History: 13 commits
5roop's picture
5roop
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#2)
3b901fd verified over 1 year ago
  • language_model
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  • .gitattributes
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  • 00020570a.flac.wav
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  • 00020578b.flac.wav
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  • 1800.m4a
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  • README.md
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  • added_tokens.json
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  • alphabet.json
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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
    xet
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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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