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theharshithh
/
open-sarika

Automatic Speech Recognition
Transformers
Safetensors
Hindi
Gujarati
Marathi
whisper
Model card Files Files and versions
xet
Community

Instructions to use theharshithh/open-sarika with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use theharshithh/open-sarika with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="theharshithh/open-sarika")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("theharshithh/open-sarika")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("theharshithh/open-sarika")
  • Notebooks
  • Google Colab
  • Kaggle
open-sarika
6.18 GB
Ctrl+K
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  • 1 contributor
History: 6 commits
theharshithh's picture
theharshithh
Update README.md
dce5a9a verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    2.39 kB
    Update README.md about 1 year ago
  • added_tokens.json
    34.6 kB
    Upload final fine-tuned checkpoint about 1 year ago
  • config.json
    1.27 kB
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  • generation_config.json
    3.9 kB
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  • merges.txt
    494 kB
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  • model-00001-of-00002.safetensors
    4.99 GB
    xet
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  • model-00002-of-00002.safetensors
    1.18 GB
    xet
    Upload final fine-tuned checkpoint about 1 year ago
  • model.safetensors.index.json
    112 kB
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  • normalizer.json
    52.7 kB
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  • preprocessor_config.json
    357 Bytes
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  • special_tokens_map.json
    2.19 kB
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  • tokenizer_config.json
    283 kB
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  • vocab.json
    1.04 MB
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