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SpeechCollector
/
whisper-chuvash-turbo

Automatic Speech Recognition
Transformers
Safetensors
Chuvash
whisper
chuvash
chv
speech-recognition
asr
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use SpeechCollector/whisper-chuvash-turbo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use SpeechCollector/whisper-chuvash-turbo with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="SpeechCollector/whisper-chuvash-turbo")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("SpeechCollector/whisper-chuvash-turbo")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("SpeechCollector/whisper-chuvash-turbo", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle

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Preview of files found in this repository
  • .gitattributes
    1.52 kB
    initial commit 2 months ago
  • README.md
    6.1 kB
    Link the project website (chuvash-asr.vercel.app) 20 days ago
  • config.json
    1.25 kB
    Upload whisper-turbo checkpoint-6000 2 months ago
  • generation_config.json
    4.48 kB
    Upload whisper-turbo checkpoint-6000 2 months ago
  • model.safetensors
    3.24 GB
    xet
    Upload whisper-turbo checkpoint-6000 2 months ago
  • processor_config.json
    410 Bytes
    Upload whisper-turbo checkpoint-6000 2 months ago
  • tokenizer.json
    3.93 MB
    Upload whisper-turbo checkpoint-6000 2 months ago
  • tokenizer_config.json
    2.11 kB
    Upload whisper-turbo checkpoint-6000 2 months ago