Feature Extraction
Transformers
PyTorch
TensorBoard
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use kul-speech-lab/whisper-small-nl-dy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kul-speech-lab/whisper-small-nl-dy with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="kul-speech-lab/whisper-small-nl-dy")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("kul-speech-lab/whisper-small-nl-dy") model = AutoModel.from_pretrained("kul-speech-lab/whisper-small-nl-dy") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot