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Atrac
/
my-seq2seq-model

Automatic Speech Recognition
Transformers
Safetensors
whisper
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use Atrac/my-seq2seq-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Atrac/my-seq2seq-model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Atrac/my-seq2seq-model")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("Atrac/my-seq2seq-model")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("Atrac/my-seq2seq-model", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
my-seq2seq-model
155 MB
Ctrl+K
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  • 1 contributor
History: 10 commits
Atrac's picture
Atrac
End of training
be76f0d verified 4 days ago
  • .gitattributes
    1.52 kB
    initial commit 4 days ago
  • README.md
    4.63 kB
    End of training 4 days ago
  • config.json
    2.21 kB
    Training in progress, step 500 4 days ago
  • generation_config.json
    4.47 kB
    Training in progress, step 500 4 days ago
  • model.safetensors
    151 MB
    xet
    Training in progress, step 2280 4 days ago
  • processor_config.json
    409 Bytes
    Training in progress, step 500 4 days ago
  • tokenizer.json
    3.93 MB
    Training in progress, step 500 4 days ago
  • tokenizer_config.json
    2.13 kB
    Training in progress, step 500 4 days ago
  • training_args.bin
    5.33 kB
    xet
    Training in progress, step 500 4 days ago