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BlueRaccoon
/
whisper-medium-da

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Danish
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community
2

Instructions to use BlueRaccoon/whisper-medium-da with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use BlueRaccoon/whisper-medium-da with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="BlueRaccoon/whisper-medium-da")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("BlueRaccoon/whisper-medium-da")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("BlueRaccoon/whisper-medium-da")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-medium-da
Ctrl+K
Ctrl+K
  • 2 contributors
History: 15 commits
BlueRaccoon's picture
BlueRaccoon
mikr's picture
mikr
leaderboard fix (#1)
7755c0b over 3 years ago
  • runs
    End of training over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • .gitignore
    13 Bytes
    Training in progress, step 1000 over 3 years ago
  • README.md
    2.1 kB
    leaderboard fix (#1) over 3 years ago
  • added_tokens.json
    2.11 kB
    Training in progress, step 1000 over 3 years ago
  • all_results.json
    346 Bytes
    End of training over 3 years ago
  • config.json
    1.01 kB
    Training in progress, step 1000 over 3 years ago
  • eval_results.json
    199 Bytes
    End of training over 3 years ago
  • merges.txt
    494 kB
    Training in progress, step 1000 over 3 years ago
  • normalizer.json
    52.7 kB
    Training in progress, step 1000 over 3 years ago
  • preprocessor_config.json
    185 kB
    Training in progress, step 1000 over 3 years ago
  • pytorch_model.bin
    3.06 GB
    xet
    Model save over 3 years ago
  • run.sh
    1.08 kB
    Training in progress, step 1000 over 3 years ago
  • run_speech_recognition_seq2seq_streaming.py
    26.2 kB
    Training in progress, step 1000 over 3 years ago
  • special_tokens_map.json
    2.06 kB
    Training in progress, step 1000 over 3 years ago
  • tokenizer_config.json
    830 Bytes
    Training in progress, step 1000 over 3 years ago
  • train_results.json
    169 Bytes
    End of training over 3 years ago
  • trainer_state.json
    26 kB
    End of training over 3 years ago
  • training_args.bin
    3.58 kB
    xet
    Training in progress, step 1000 over 3 years ago
  • vocab.json
    1.04 MB
    Training in progress, step 1000 over 3 years ago