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Evan-Lin
/
whisper-large-v1-tw

Automatic Speech Recognition
Transformers
PyTorch
google-tensorflow TensorFlow
JAX
whisper
audio
hf-asr-leaderboard
Eval Results (legacy)
Model card Files Files and versions
xet
Community
1

Instructions to use Evan-Lin/whisper-large-v1-tw with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Evan-Lin/whisper-large-v1-tw with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Evan-Lin/whisper-large-v1-tw")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("Evan-Lin/whisper-large-v1-tw")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("Evan-Lin/whisper-large-v1-tw", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-large-v1-tw
6.18 GB
Ctrl+K
Ctrl+K
  • 11 contributors
History: 44 commits
ArthurZ's picture
ArthurZ HF Staff
Update README.md
7e3649f about 4 years ago
  • .gitattributes
    1.38 kB
    initial commit about 4 years ago
  • README.md
    15.4 kB
    Update README.md about 4 years ago
  • added_tokens.json
    2.11 kB
    Upload tokenizer about 4 years ago
  • config.json
    1.84 kB
    Upload config about 4 years ago
  • merges.txt
    494 kB
    Upload processor about 4 years ago
  • normalizer.json
    52.7 kB
    Upload tokenizer about 4 years ago
  • preprocessor_config.json
    185 kB
    Upload processor about 4 years ago
  • pytorch_model.bin
    6.17 GB
    xet
    Upload WhisperForConditionalGeneration about 4 years ago
  • special_tokens_map.json
    2.03 kB
    Upload tokenizer about 4 years ago
  • tokenizer_config.json
    795 Bytes
    Upload processor about 4 years ago
  • vocab.json
    1.04 MB
    Upload processor about 4 years ago