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BUT-FIT
/
ED-small

Automatic Speech Recognition
Transformers
Safetensors
English
joint_aed_ctc_speech-encoder-decoder
custom_code
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use BUT-FIT/ED-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use BUT-FIT/ED-small with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="BUT-FIT/ED-small", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModelForSpeechSeq2Seq
    model = AutoModelForSpeechSeq2Seq.from_pretrained("BUT-FIT/ED-small", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
ED-small / ED_small_predictions
3.84 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
Lakoc's picture
Lakoc
Delete ED_small_predictions/predictions_wsj_test.csv
3b6bb2a verified over 1 year ago
  • predictions_commonvoice_en_test.csv
    1.75 MB
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  • predictions_fleurs_test.csv
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  • predictions_librispeech_test.clean.csv
    566 kB
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  • predictions_librispeech_test.other.csv
    549 kB
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  • predictions_tedlium3_test.csv
    289 kB
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  • predictions_voxpopuli_test.csv
    511 kB
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