Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
Dutch
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use pplantinga/whisper-small-nl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pplantinga/whisper-small-nl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="pplantinga/whisper-small-nl")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("pplantinga/whisper-small-nl") model = AutoModelForSpeechSeq2Seq.from_pretrained("pplantinga/whisper-small-nl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Librarian Bot: Add base_model information to model (#2)
- Librarian Bot: Add base_model information to model (5da9fc7367b327f240e6a3ef6a043cbab089cc3f) Co-authored-by: Librarian Bot (Bot) <librarian-bot@users.noreply.huggingface.co>998613a
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (fb218c82f89df5181883aef5dfecbbc5669e5757) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>fb0c16b
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update model card README.md
7601e13 -
End of training
2cb5ed0 -
update model card README.md
7afa2eb -
Model save
275e74c
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initial commit
12984c9