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saran14
/
teluguasr_final

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

Instructions to use saran14/teluguasr_final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use saran14/teluguasr_final with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="saran14/teluguasr_final")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("saran14/teluguasr_final")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("saran14/teluguasr_final")
  • Notebooks
  • Google Colab
  • Kaggle
teluguasr_final
969 MB
Ctrl+K
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  • 1 contributor
History: 4 commits
saran14's picture
saran14
Upload WhisperForConditionalGeneration
2260722 verified 10 months ago
  • .gitattributes
    1.52 kB
    initial commit 10 months ago
  • README.md
    5.17 kB
    Upload tokenizer 10 months ago
  • added_tokens.json
    2.11 kB
    Upload tokenizer 10 months ago
  • config.json
    1.23 kB
    Upload WhisperForConditionalGeneration 10 months ago
  • generation_config.json
    300 Bytes
    Upload WhisperForConditionalGeneration 10 months ago
  • merges.txt
    494 kB
    Upload tokenizer 10 months ago
  • model.safetensors
    967 MB
    xet
    Upload WhisperForConditionalGeneration 10 months ago
  • normalizer.json
    52.7 kB
    Upload tokenizer 10 months ago
  • preprocessor_config.json
    356 Bytes
    Upload processor 10 months ago
  • special_tokens_map.json
    2.18 kB
    Upload tokenizer 10 months ago
  • tokenizer_config.json
    20.5 kB
    Upload tokenizer 10 months ago
  • vocab.json
    1.04 MB
    Upload tokenizer 10 months ago