Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
whisper
Generated from Trainer
dutch
whisper-event
Instructions to use qmeeus/whisper-small-nl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use qmeeus/whisper-small-nl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="qmeeus/whisper-small-nl")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("qmeeus/whisper-small-nl") model = AutoModelForSpeechSeq2Seq.from_pretrained("qmeeus/whisper-small-nl") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fb7c95e16a638e52e25062088e552b1400d8d54f4160f2f7b3800717a833f622
- Size of remote file:
- 967 MB
- SHA256:
- 80cdcbf821110fcf5569321fb9792374288488eecd8095d22ac357656de4ccc8
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