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LOGMONS
/
speecht5-laugh

Automatic Speech Recognition
Transformers
Safetensors
speecht5
Model card Files Files and versions
xet
Community

Instructions to use LOGMONS/speecht5-laugh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use LOGMONS/speecht5-laugh with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="LOGMONS/speecht5-laugh")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("LOGMONS/speecht5-laugh")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("LOGMONS/speecht5-laugh")
  • Notebooks
  • Google Colab
  • Kaggle
speecht5-laugh
605 MB
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  • 1 contributor
History: 3 commits
LOGMONS's picture
LOGMONS
Upload processor
8129a31 verified 4 months ago
  • .gitattributes
    1.52 kB
    initial commit 4 months ago
  • README.md
    5.17 kB
    Upload SpeechT5ForSpeechToText 4 months ago
  • added_tokens.json
    57 Bytes
    Upload processor 4 months ago
  • config.json
    2.05 kB
    Upload SpeechT5ForSpeechToText 4 months ago
  • generation_config.json
    194 Bytes
    Upload SpeechT5ForSpeechToText 4 months ago
  • model.safetensors
    605 MB
    xet
    Upload SpeechT5ForSpeechToText 4 months ago
  • preprocessor_config.json
    458 Bytes
    Upload processor 4 months ago
  • special_tokens_map.json
    234 Bytes
    Upload processor 4 months ago
  • spm_char.model
    238 kB
    xet
    Upload processor 4 months ago
  • tokenizer_config.json
    1.56 kB
    Upload processor 4 months ago