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NbAiLab
/
whisper-small-smj-test

Automatic Speech Recognition
Transformers
PyTorch
google-tensorflow TensorFlow
JAX
TensorBoard
ONNX
Safetensors
Estonian
whisper
audio
asr
hf-asr-leaderboard
Model card Files Files and versions
xet
Metrics Training metrics Community

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

  • Libraries
  • Transformers

    How to use NbAiLab/whisper-small-smj-test with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="NbAiLab/whisper-small-smj-test")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("NbAiLab/whisper-small-smj-test")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("NbAiLab/whisper-small-smj-test", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-small-smj-test / runs
8.65 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 12 commits
versae's picture
versae
Saving test results
89c4b65 almost 3 years ago
  • Oct21_13-31-51_t1v-n-85d17cd2-w-0
    Saving test results almost 3 years ago