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kali1
/
base500

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

Instructions to use kali1/base500 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use kali1/base500 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="kali1/base500")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("kali1/base500")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("kali1/base500", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
base500
662 MB
Ctrl+K
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  • 1 contributor
History: 4 commits
kali1's picture
kali1
Upload model.safetensors
640c7a9 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    31 Bytes
    initial commit about 2 years ago
  • added_tokens.json
    36.2 kB
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  • config.json
    1.37 kB
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  • gitattributes
    1.52 kB
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  • merges.txt
    544 kB
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  • model.safetensors
    290 MB
    xet
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  • normalizer.json
    54.4 kB
    update 1000 about 2 years ago
  • preprocessor_config.json
    353 Bytes
    update 1000 about 2 years ago
  • pytorch_model.bin
    370 MB
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  • special_tokens_map.json
    2.33 kB
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  • tokenizer_config.json
    296 kB
    update 1000 about 2 years ago
  • training_args.bin
    5.24 kB
    xet
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  • vocab.json
    1.09 MB
    update 1000 about 2 years ago