Instructions to use aware-ai/whisper-base-german with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aware-ai/whisper-base-german with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="aware-ai/whisper-base-german")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("aware-ai/whisper-base-german") model = AutoModelForSpeechSeq2Seq.from_pretrained("aware-ai/whisper-base-german", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ca1edda518b46655af4003e7d3d68a46db8db507626d3dcf6871dad263958aa4
- Size of remote file:
- 3.58 kB
- SHA256:
- e02c253ca6ff0734d83f4f39d0275698f0286084b3517632fbca65c072b93b43
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