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:
- ecdb4ae2838f6783ff768315b97f829e6ec40154c022212b995aea8ff91e56eb
- Size of remote file:
- 3.64 kB
- SHA256:
- 882f2810df491347e71323eaaffc13890b8d922955eb23a46e9df98bc53c7e6f
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