Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Dutch
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use M2LabOrg/whisper-small-nl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use M2LabOrg/whisper-small-nl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="M2LabOrg/whisper-small-nl")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("M2LabOrg/whisper-small-nl") model = AutoModelForMultimodalLM.from_pretrained("M2LabOrg/whisper-small-nl") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9b019bad459415ef3fb6926cf2c49e3e96f7bfa4df9419ab2556ded4385a9d08
- Size of remote file:
- 5.24 kB
- SHA256:
- d47d43b87801f5c57035f138f1a92c5593db7a19e8c673acfb2b05047b490951
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