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PlotweaverAI
/
whisper-small-de-en

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

Instructions to use PlotweaverAI/whisper-small-de-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use PlotweaverAI/whisper-small-de-en with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="PlotweaverAI/whisper-small-de-en")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("PlotweaverAI/whisper-small-de-en")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("PlotweaverAI/whisper-small-de-en")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-small-de-en
971 MB
Ctrl+K
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  • 1 contributor
History: 4 commits
PlotweaverModel's picture
PlotweaverModel
Upload feature extractor
ef40c1a verified about 1 month ago
  • .gitattributes
    1.52 kB
    initial commit about 1 month ago
  • README.md
    5.17 kB
    Upload WhisperForConditionalGeneration about 1 month ago
  • config.json
    1.3 kB
    Upload WhisperForConditionalGeneration about 1 month ago
  • generation_config.json
    2.94 kB
    Upload WhisperForConditionalGeneration about 1 month ago
  • model.safetensors
    967 MB
    xet
    Upload WhisperForConditionalGeneration about 1 month ago
  • preprocessor_config.json
    315 Bytes
    Upload feature extractor about 1 month ago
  • processor_config.json
    409 Bytes
    Upload processor about 1 month ago
  • tokenizer.json
    3.93 MB
    Upload processor about 1 month ago
  • tokenizer_config.json
    2.08 kB
    Upload processor about 1 month ago