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:
- 80eb348104249248292a4f128013764501e412adc6ed8637fef165ecfc0fb656
- Size of remote file:
- 290 MB
- SHA256:
- 816175cb0883c5f9919fdf49e1e1f716cb82cf9b53d7f58f9eb3ae2984c516db
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