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RevgeAI
/
vekol-stt-ckb-base

Automatic Speech Recognition
Transformers
ONNX
Safetensors
Central Kurdish
whisper
speech-to-text
asr
kurdish
sorani
central-kurdish
edge
on-device
Model card Files Files and versions
xet
Community

Instructions to use RevgeAI/vekol-stt-ckb-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use RevgeAI/vekol-stt-ckb-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="RevgeAI/vekol-stt-ckb-base")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("RevgeAI/vekol-stt-ckb-base")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("RevgeAI/vekol-stt-ckb-base")
  • Notebooks
  • Google Colab
  • Kaggle
vekol-stt-ckb-base
583 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
RevgeCo's picture
RevgeCo
Note ONNX (torch-free) runtime in card
5dd9b25 verified 14 days ago
  • .gitattributes
    1.52 kB
    initial commit 14 days ago
  • NOTICE
    677 Bytes
    Upload folder using huggingface_hub 14 days ago
  • README.md
    3.29 kB
    Note ONNX (torch-free) runtime in card 14 days ago
  • added_tokens.json
    34.6 kB
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  • config.json
    1.27 kB
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  • decoder_model_merged.onnx
    208 MB
    xet
    Add ONNX (decoder_model_merged.onnx) 14 days ago
  • encoder_model.onnx
    82.4 MB
    xet
    Add ONNX (encoder_model.onnx) 14 days ago
  • generation_config.json
    2.89 kB
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  • merges.txt
    494 kB
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  • model.safetensors
    290 MB
    xet
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  • normalizer.json
    52.7 kB
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  • preprocessor_config.json
    339 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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  • vekol-black.png
    15 kB
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  • vekol-white.png
    15 kB
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  • vocab.json
    1.04 MB
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