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huper29
/
huper_recognizer

Automatic Speech Recognition
Transformers
Safetensors
wavlm
audio
speech
ctc
phone-recognition
arpabet
Model card Files Files and versions
xet
Community
2

Instructions to use huper29/huper_recognizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use huper29/huper_recognizer with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="huper29/huper_recognizer")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("huper29/huper_recognizer")
    model = AutoModelForCTC.from_pretrained("huper29/huper_recognizer", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
huper_recognizer
1.26 GB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 6 commits
nielsr's picture
nielsr HF Staff
Add library name, pipeline tag, and links to paper and code
c10c853 verified 18 days ago
  • .gitattributes
    1.52 kB
    initial commit 8 months ago
  • README.md
    1.69 kB
    Add library name, pipeline tag, and links to paper and code 18 days ago
  • added_tokens.json
    30 Bytes
    Upload model + model card 8 months ago
  • config.json
    3.72 kB
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  • model.safetensors
    1.26 GB
    xet
    Upload model + model card 8 months ago
  • preprocessor_config.json
    257 Bytes
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  • special_tokens_map.json
    96 Bytes
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  • tokenizer_config.json
    5.22 kB
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  • vocab.json
    516 Bytes
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