Instructions to use primeline/whisper-large-v3-turbo-german with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use primeline/whisper-large-v3-turbo-german with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="primeline/whisper-large-v3-turbo-german")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("primeline/whisper-large-v3-turbo-german") model = AutoModelForSpeechSeq2Seq.from_pretrained("primeline/whisper-large-v3-turbo-german", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f47a408f487b985175540579e2c5c0bce39d753686c4b01482242efab6534dba
- Size of remote file:
- 5.43 kB
- SHA256:
- 9af21663cae7f180db61dc7e861d7dc8bbfbbc4a4338cf41906109c3fbad9d7e
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