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bc7ec356
/
heep-universal

Automatic Speech Recognition
Transformers
Safetensors
whisper
speech
audio
asr
multi-lingual
heep
heep-universal
entropy-based-curation
Model card Files Files and versions
xet
Community

Instructions to use bc7ec356/heep-universal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use bc7ec356/heep-universal with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="bc7ec356/heep-universal")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("bc7ec356/heep-universal")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("bc7ec356/heep-universal")
  • Notebooks
  • Google Colab
  • Kaggle
heep-universal
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  • 1 contributor
History: 15 commits
bc7ec356's picture
bc7ec356
Update README.md
a98a536 verified about 23 hours ago
  • .gitattributes
    1.52 kB
    initial commit 3 months ago
  • README.md
    14.1 kB
    Update README.md about 23 hours ago
  • added_tokens.json
    34.6 kB
    Upload pingala-v1-universal model 3 months ago
  • config.json
    1.2 kB
    Upload pingala-v1-universal model 3 months ago
  • generation_config.json
    3.77 kB
    Upload pingala-v1-universal model 3 months ago
  • merges.txt
    494 kB
    Upload pingala-v1-universal model 3 months ago
  • model.safetensors
    3.24 GB
    xet
    Upload pingala-v1-universal model 3 months ago
  • normalizer.json
    52.7 kB
    Upload pingala-v1-universal model 3 months ago
  • preprocessor_config.json
    357 Bytes
    Upload pingala-v1-universal model 3 months ago
  • special_tokens_map.json
    2.19 kB
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  • tokenizer_config.json
    283 kB
    Upload pingala-v1-universal model 3 months ago
  • vocab.json
    1.04 MB
    Upload pingala-v1-universal model 3 months ago