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devrahulbanjara
/
whisper-small-nepali

Automatic Speech Recognition
Transformers
Safetensors
Nepali
whisper
nepali
fine-tuned
audio
asr
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use devrahulbanjara/whisper-small-nepali with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use devrahulbanjara/whisper-small-nepali with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="devrahulbanjara/whisper-small-nepali")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("devrahulbanjara/whisper-small-nepali")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("devrahulbanjara/whisper-small-nepali")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-small-nepali
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
devrahulbanjara's picture
devrahulbanjara
Update README.md
67ef765 verified about 1 month ago
  • .gitattributes
    1.58 kB
    Add training curves PNG about 1 month ago
  • README.md
    5.44 kB
    Update README.md about 1 month ago
  • config.json
    1.3 kB
    Upload fine-tuned whisper-small-nepali-v3 weights about 1 month ago
  • generation_config.json
    4.58 kB
    Upload fine-tuned whisper-small-nepali-v3 weights about 1 month ago
  • model.safetensors
    967 MB
    xet
    Upload fine-tuned whisper-small-nepali-v3 weights about 1 month ago
  • processor_config.json
    409 Bytes
    Upload processor (feature extractor + tokenizer) about 1 month ago
  • tokenizer.json
    2.03 kB
    Upload processor (feature extractor + tokenizer) about 1 month ago
  • tokenizer_config.json
    379 Bytes
    Upload processor (feature extractor + tokenizer) about 1 month ago
  • training_curves.png
    188 kB
    xet
    Add training curves PNG about 1 month ago