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Talha
/
urdumodel

Automatic Speech Recognition
Transformers
PyTorch
wav2vec2
Generated from Trainer
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use Talha/urdumodel with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Talha/urdumodel")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("Talha/urdumodel")
    model = AutoModelForCTC.from_pretrained("Talha/urdumodel")
  • Notebooks
  • Google Colab
  • Kaggle
urdumodel
Ctrl+K
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  • 1 contributor
History: 10 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
6f4054f almost 3 years ago
  • language_model
    URDU-ASR-LM almost 4 years ago
  • .gitattributes
    1.39 kB
    Adding `safetensors` variant of this model almost 3 years ago
  • .gitignore
    13 Bytes
    Training in progress, step 500 almost 4 years ago
  • README.md
    1.56 kB
    Update README.md almost 4 years ago
  • added_tokens.json
    5 Bytes
    URDU-ASR-LM almost 4 years ago
  • alphabet.json
    498 Bytes
    URDU-ASR-LM almost 4 years ago
  • config.json
    2.31 kB
    Training in progress, step 500 almost 4 years ago
  • model.safetensors
    1.26 GB
    xet
    Adding `safetensors` variant of this model almost 3 years ago
  • preprocessor_config.json
    262 Bytes
    URDU-ASR-LM almost 4 years ago
  • pytorch_model.bin
    1.26 GB
    xet
    newurdumodel almost 4 years ago
  • special_tokens_map.json
    83 Bytes
    URDU-ASR-LM almost 4 years ago
  • tokenizer_config.json
    381 Bytes
    URDU-ASR-LM almost 4 years ago
  • training_args.bin
    3.31 kB
    xet
    Training in progress, step 8000 almost 4 years ago
  • vocab.json
    624 Bytes
    End of training almost 4 years ago