Instructions to use nizarmichaud/whisper-large-v3-turbo-swissgerman with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nizarmichaud/whisper-large-v3-turbo-swissgerman with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="nizarmichaud/whisper-large-v3-turbo-swissgerman")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("nizarmichaud/whisper-large-v3-turbo-swissgerman") model = AutoModelForSpeechSeq2Seq.from_pretrained("nizarmichaud/whisper-large-v3-turbo-swissgerman", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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@@ -116,4 +116,5 @@ If you use this model in your work, please cite this repository as follows:
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year = {2024},
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publisher = {Hugging Face},
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url = {https://huggingface.co/nizarmichaud/whisper-large-v3-turbo-swissgerman},
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}
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year = {2024},
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publisher = {Hugging Face},
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url = {https://huggingface.co/nizarmichaud/whisper-large-v3-turbo-swissgerman},
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doi = 10.57967/hf/3858,
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}
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