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goran
/
whisper-small.mk

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
Macedonian
whisper
ASR
Whisper
Model card Files Files and versions
xet
Metrics Training metrics Community
1

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

  • Libraries
  • Transformers

    How to use goran/whisper-small.mk with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="goran/whisper-small.mk")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("goran/whisper-small.mk")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("goran/whisper-small.mk")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-small.mk
1.94 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 13 commits
goran's picture
goran
Update README.md
dac4b65 verified over 2 years ago
  • runs
    Training in progress, step 1000 over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • .gitignore
    13 Bytes
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  • README.md
    400 Bytes
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  • added_tokens.json
    2.08 kB
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  • config.json
    1.3 kB
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  • merges.txt
    494 kB
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  • model.safetensors
    967 MB
    xet
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  • normalizer.json
    52.7 kB
    Training in progress, step 1000 over 3 years ago
  • preprocessor_config.json
    339 Bytes
    Training in progress, step 1000 over 3 years ago
  • pytorch_model.bin
    967 MB
    xet
    Training in progress, step 1000 over 3 years ago
  • special_tokens_map.json
    2.08 kB
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  • tokenizer_config.json
    800 Bytes
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  • training_args.bin
    3.71 kB
    xet
    Training in progress, step 1000 over 3 years ago
  • vocab.json
    1.04 MB
    Training in progress, step 1000 over 3 years ago