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deepdml
/
whisper-small-eu

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Basque
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community
1

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

  • Libraries
  • Transformers

    How to use deepdml/whisper-small-eu with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="deepdml/whisper-small-eu")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("deepdml/whisper-small-eu")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("deepdml/whisper-small-eu", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-small-eu
969 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 13 commits
deepdml's picture
deepdml
Update README.md
3c1e846 almost 4 years ago
  • .ipynb_checkpoints
    Training in progress, step 3000 almost 4 years ago
  • runs
    Model save almost 4 years ago
  • .gitattributes
    1.48 kB
    initial commit almost 4 years ago
  • .gitignore
    13 Bytes
    Training in progress, step 1000 almost 4 years ago
  • README.md
    2.1 kB
    Update README.md almost 4 years ago
  • added_tokens.json
    2.11 kB
    Training in progress, step 1000 almost 4 years ago
  • config.json
    1.01 kB
    Training in progress, step 1000 almost 4 years ago
  • merges.txt
    494 kB
    Training in progress, step 1000 almost 4 years ago
  • normalizer.json
    52.7 kB
    Training in progress, step 1000 almost 4 years ago
  • preprocessor_config.json
    185 kB
    Training in progress, step 1000 almost 4 years ago
  • pytorch_model.bin
    967 MB
    xet
    Model save almost 4 years ago
  • run.sh
    1.06 kB
    Training in progress, step 1000 almost 4 years ago
  • run_speech_recognition_seq2seq_streaming.py
    26.2 kB
    Training in progress, step 1000 almost 4 years ago
  • special_tokens_map.json
    2.06 kB
    Training in progress, step 1000 almost 4 years ago
  • tokenizer_config.json
    829 Bytes
    Training in progress, step 1000 almost 4 years ago
  • training_args.bin
    3.58 kB
    xet
    Training in progress, step 1000 almost 4 years ago
  • vocab.json
    1.04 MB
    Training in progress, step 1000 almost 4 years ago