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Aanchan
/
psst_model_cer_2

Automatic Speech Recognition
Transformers
PyTorch
wav2vec2
Generated from Trainer
Model card Files Files and versions
xet
Community
4

Instructions to use Aanchan/psst_model_cer_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Aanchan/psst_model_cer_2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Aanchan/psst_model_cer_2")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("Aanchan/psst_model_cer_2")
    model = AutoModelForCTC.from_pretrained("Aanchan/psst_model_cer_2")
  • Notebooks
  • Google Colab
  • Kaggle
psst_model_cer_2
378 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 12 commits
librarian-bot's picture
librarian-bot
Librarian Bot: Add base_model information to model
ad36081 almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • .gitignore
    13 Bytes
    Training in progress, step 10 almost 3 years ago
  • README.md
    44.4 kB
    Librarian Bot: Add base_model information to model almost 3 years ago
  • config.json
    2.34 kB
    Training in progress, step 2360 almost 3 years ago
  • preprocessor_config.json
    215 Bytes
    Training in progress, step 10 almost 3 years ago
  • pytorch_model.bin
    378 MB
    xet
    End of training almost 3 years ago
  • special_tokens_map.json
    96 Bytes
    Upload tokenizer almost 3 years ago
  • tokenizer_config.json
    331 Bytes
    Upload tokenizer almost 3 years ago
  • training_args.bin
    3.52 kB
    xet
    Training in progress, step 2360 almost 3 years ago
  • vocab.json
    517 Bytes
    Upload tokenizer almost 3 years ago