Instructions to use primeline/whisper-tiny-german-1224 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use primeline/whisper-tiny-german-1224 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="primeline/whisper-tiny-german-1224")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("primeline/whisper-tiny-german-1224") model = AutoModelForSpeechSeq2Seq.from_pretrained("primeline/whisper-tiny-german-1224") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0530b9fee390247600564d2dcb795accf06f52b28f009f01f3ae5558bc17eb60
- Size of remote file:
- 5.5 kB
- SHA256:
- dd6b37e180321d06f63debf2a889378dc625d51a833d6273fc9f9cfa497dab3c
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