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Tesseract3D
/
LMT2-Tuned-S

Automatic Speech Recognition
Transformers
PyTorch
whisper
Model card Files Files and versions
xet
Community
1

Instructions to use Tesseract3D/LMT2-Tuned-S with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Tesseract3D/LMT2-Tuned-S with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Tesseract3D/LMT2-Tuned-S")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("Tesseract3D/LMT2-Tuned-S")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("Tesseract3D/LMT2-Tuned-S", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
LMT2-Tuned-S
2.9 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
Tesseract3D's picture
Tesseract3D
Uploaded more information
7a91196 about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • .gitignore
    13 Bytes
    Uploaded more information about 3 years ago
  • README.md
    28 Bytes
    Uploaded more information about 3 years ago
  • added_tokens.json
    2.08 kB
    Uploaded more information about 3 years ago
  • config.json
    1.29 kB
    Uploaded Small Model - 4000 about 3 years ago
  • generation_config.json
    3.5 kB
    Uploaded Small Model - 4000 about 3 years ago
  • merges.txt
    494 kB
    Uploaded more information about 3 years ago
  • normalizer.json
    52.7 kB
    Uploaded more information about 3 years ago
  • optimizer.pt
    1.93 GB
    xet
    Uploaded Small Model - 4000 about 3 years ago
  • preprocessor_config.json
    339 Bytes
    Uploaded Small Model - 4000 about 3 years ago
  • pytorch_model.bin
    967 MB
    xet
    Uploaded Small Model - 4000 about 3 years ago
  • rng_state.pth
    14.6 kB
    xet
    Uploaded Small Model - 4000 about 3 years ago
  • scaler.pt
    557 Bytes
    xet
    Uploaded Small Model - 4000 about 3 years ago
  • scheduler.pt
    627 Bytes
    xet
    Uploaded Small Model - 4000 about 3 years ago
  • special_tokens_map.json
    2.08 kB
    Uploaded more information about 3 years ago
  • tokenizer_config.json
    805 Bytes
    Uploaded more information about 3 years ago
  • trainer_state.json
    20.4 kB
    Uploaded Small Model - 4000 about 3 years ago
  • training_args.bin
    4.09 kB
    xet
    Uploaded more information about 3 years ago
  • vocab.json
    1.04 MB
    Uploaded more information about 3 years ago