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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
ead3816
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Parent(s): b1b0998
Librarian Bot: Add base_model information to model (#1)
Browse files- Librarian Bot: Add base_model information to model (5493facb510a56df3ab819b24834a04df07d5874)
Co-authored-by: Librarian Bot (Bot) <librarian-bot@users.noreply.huggingface.co>
README.md
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- whisper-event
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metrics:
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model-index:
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- name: whisper-small-nl
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results: []
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- whisper-event
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metrics:
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base_model: qmeeus/whisper-small-nl
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model-index:
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- name: whisper-small-nl
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results: []
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