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danielizham
/
whisper-small-es

Automatic Speech Recognition
Transformers
PyTorch
Spanish
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Community
2

Instructions to use danielizham/whisper-small-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use danielizham/whisper-small-es with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="danielizham/whisper-small-es")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("danielizham/whisper-small-es")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("danielizham/whisper-small-es", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-small-es / wandb
25 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
danielizham's picture
danielizham
update model card README.md
437f07d about 3 years ago
  • run-20230509_115211-hq92t8sj
    Training in progress, step 1000 about 3 years ago
  • run-20230510_094132-lvsln7ks
    update model card README.md about 3 years ago
  • debug-cli.dizham.log
    0 Bytes
    Training in progress, step 1000 about 3 years ago
  • debug-internal.log
    52 Bytes
    Training in progress, step 1000 about 3 years ago
  • debug.log
    43 Bytes
    Training in progress, step 1000 about 3 years ago
  • latest-run
    28 Bytes
    Training in progress, step 1000 about 3 years ago