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yxdu
/
ESRT-4B

Automatic Speech Recognition
Transformers
Safetensors
custom_slm
feature-extraction
custom_code
Model card Files Files and versions
xet
Community
1

Instructions to use yxdu/ESRT-4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use yxdu/ESRT-4B with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="yxdu/ESRT-4B", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("yxdu/ESRT-4B", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
ESRT-4B
9.22 GB
Ctrl+K
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  • 2 contributors
History: 11 commits
yxdu's picture
yxdu
nielsr's picture
nielsr HF Staff
Add metadata and improve model card (#1)
8eab8ef 11 days ago
  • .gitattributes
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  • README.md
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  • added_tokens.json
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  • config.json
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  • model.safetensors

    Pickle imports

    • No problematic imports detected

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    9.18 GB
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  • special_tokens_map.json
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  • srt_model.py
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  • tokenizer.json
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  • tokenizer.model
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  • tokenizer_config.json
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