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ihanif
/
exp_004_base_multistage_urdu

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
whisper
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use ihanif/exp_004_base_multistage_urdu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ihanif/exp_004_base_multistage_urdu with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="ihanif/exp_004_base_multistage_urdu")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("ihanif/exp_004_base_multistage_urdu")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("ihanif/exp_004_base_multistage_urdu")
  • Notebooks
  • Google Colab
  • Kaggle
exp_004_base_multistage_urdu
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  • 1 contributor
History: 23 commits
ihanif's picture
ihanif
End of training
106b09d verified 3 months ago
  • runs
    Model save 3 months ago
  • .gitattributes
    1.52 kB
    initial commit 3 months ago
  • README.md
    3.36 kB
    Model save 3 months ago
  • config.json
    1.3 kB
    Training in progress, step 500 3 months ago
  • experiment_log.txt
    1.05 MB
    End of training 3 months ago
  • generation_config.json
    2.56 kB
    Training in progress, step 500 3 months ago
  • model.safetensors
    290 MB
    xet
    Model save 3 months ago
  • preprocessor_config.json
    315 Bytes
    Training in progress, step 500 3 months ago
  • processor_config.json
    409 Bytes
    Training in progress, step 500 3 months ago
  • tokenizer.json
    3.93 MB
    Training in progress, step 500 3 months ago
  • tokenizer_config.json
    2.1 kB
    Training in progress, step 500 3 months ago
  • training_args.bin
    5.39 kB
    xet
    Training in progress, step 500 3 months ago