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opencampus
/
sign-whisper-german

Transformers
Safetensors
German
whisper
sign-language
german
custom_code
Eval Results (legacy)
Model card Files Files and versions
xet
Community
3

Instructions to use opencampus/sign-whisper-german with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use opencampus/sign-whisper-german with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("opencampus/sign-whisper-german", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
sign-whisper-german
1.62 GB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 79 commits
Christopher H.
Update README.md
a08b5b3 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
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  • added_tokens.json
    34.6 kB
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  • config.json
    1.52 kB
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  • generation_config.json
    112 kB
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  • merges.txt
    494 kB
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  • model.py
    130 kB
    add "residual = None" to forward conv layers over 1 year ago
  • model.safetensors
    1.62 GB
    xet
    Training in progress, step 157 almost 2 years ago
  • normalizer.json
    52.7 kB
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  • preprocessor_config.json
    340 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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  • training_args.bin
    5.43 kB
    xet
    Training in progress, step 100 almost 2 years ago
  • vocab.json
    1.04 MB
    Upload processor almost 2 years ago