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adkta
/
nep_eng_code-mixed_translit_lm

Automatic Speech Recognition
Transformers
Safetensors
Nepali
English
wav2vec2
Model card Files Files and versions
xet
Community

Instructions to use adkta/nep_eng_code-mixed_translit_lm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use adkta/nep_eng_code-mixed_translit_lm with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="adkta/nep_eng_code-mixed_translit_lm")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("adkta/nep_eng_code-mixed_translit_lm")
    model = AutoModelForCTC.from_pretrained("adkta/nep_eng_code-mixed_translit_lm")
  • Notebooks
  • Google Colab
  • Kaggle
nep_eng_code-mixed_translit_lm
378 MB
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  • 1 contributor
History: 19 commits
adkta's picture
adkta
Update README.md
87d0534 verified about 2 months ago
  • .gitattributes
    1.52 kB
    initial commit 4 months ago
  • README.md
    6.08 kB
    Update README.md about 2 months ago
  • config.json
    2.12 kB
    Upload Wav2Vec2ForCTC 3 months ago
  • model.safetensors
    378 MB
    xet
    Upload Wav2Vec2ForCTC 4 months ago
  • processor_config.json
    298 Bytes
    Upload processor 4 months ago
  • tokenizer_config.json
    1.33 kB
    Upload processor 3 months ago
  • vocab.json
    1.8 kB
    Upload processor 3 months ago