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waveletdeboshir
/
gigaam-ctc-with-lm

Automatic Speech Recognition
Transformers
Safetensors
Russian
gigaam-ctc
asr
gigaam
stt
ctc
ngram
audio
speech
custom_code
Model card Files Files and versions
xet
Community

Instructions to use waveletdeboshir/gigaam-ctc-with-lm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use waveletdeboshir/gigaam-ctc-with-lm with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="waveletdeboshir/gigaam-ctc-with-lm", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("waveletdeboshir/gigaam-ctc-with-lm", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
gigaam-ctc-with-lm
2.64 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
waveletdeboshir's picture
waveletdeboshir
Update README.md
07d97cf verified about 1 year ago
  • language_model
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  • .gitattributes
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  • README.md
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  • added_tokens.json
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  • alphabet.json
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  • config.json
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  • encoder.py
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  • gigaam_transformers.py
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  • model.safetensors
    465 MB
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  • preprocessor_config.json
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  • special_tokens_map.json
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  • tokenizer_config.json
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  • vocab.json
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