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abidlabs
/
speech-text

Automatic Speech Recognition
Transformers
PyTorch
JAX
English
wav2vec2
audio
hf-asr-leaderboard
mozilla-foundation/common_voice_6_0
robust-speech-event
speech
xlsr-fine-tuning-week
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use abidlabs/speech-text with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use abidlabs/speech-text with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="abidlabs/speech-text")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("abidlabs/speech-text")
    model = AutoModelForCTC.from_pretrained("abidlabs/speech-text")
  • Notebooks
  • Google Colab
  • Kaggle
speech-text / language_model
Ctrl+K
Ctrl+K
  • 3 contributors
History: 1 commit
jonatasgrosman's picture
jonatasgrosman
add LM
726deeb over 4 years ago
  • attrs.json
    78 Bytes
    add LM over 4 years ago
  • lm.binary
    863 MB
    LFS
    add LM over 4 years ago
  • unigrams.txt
    3.51 MB
    LFS
    add LM over 4 years ago