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DeepLoading
/
slang-stt

Automatic Speech Recognition
Transformers
PyTorch
wav2vec2
Model card Files Files and versions
xet
Community
1

Instructions to use DeepLoading/slang-stt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use DeepLoading/slang-stt with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="DeepLoading/slang-stt")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("DeepLoading/slang-stt")
    model = AutoModelForCTC.from_pretrained("DeepLoading/slang-stt")
  • Notebooks
  • Google Colab
  • Kaggle
slang-stt
3.85 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
thisisHJLee's picture
thisisHJLee
Upload 7 files
9ef3a2d over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • README.md
    21 Bytes
    initial commit over 3 years ago
  • config.json
    2.03 kB
    Upload 7 files over 3 years ago
  • preprocessor_config.json
    215 Bytes
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  • pytorch_model.bin
    3.85 GB
    xet
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  • special_tokens_map.json
    85 Bytes
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  • tokenizer_config.json
    217 Bytes
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  • training_args.bin

    Detected Pickle imports (6)

    • "transformers.trainer_utils.SchedulerType",
    • "transformers.trainer_utils.HubStrategy",
    • "torch.device",
    • "transformers.trainer_utils.IntervalStrategy",
    • "transformers.training_args.OptimizerNames",
    • "transformers.training_args.TrainingArguments"

    How to fix it?

    3.07 kB
    xet
    Upload 7 files over 3 years ago
  • vocab.json
    1.33 kB
    Upload 7 files over 3 years ago