Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Dutch
whisper
hf-asr-leaderboard
Generated from Trainer
Eval Results (legacy)
Instructions to use renesteeman/whisper-tiny-dutch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use renesteeman/whisper-tiny-dutch with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="renesteeman/whisper-tiny-dutch")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("renesteeman/whisper-tiny-dutch") model = AutoModelForSpeechSeq2Seq.from_pretrained("renesteeman/whisper-tiny-dutch", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 370c3559f08509b7fe24fde5ef05ebe925155bf2d0fe1395dbba66e96bba0b52
- Size of remote file:
- 151 MB
- SHA256:
- e3c00b8cc1b9cb967555b794820e6af47c7b33219d047aa48ff55218f17f181e
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