Instructions to use ImNobody/whisper-base-de-paperspace with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ImNobody/whisper-base-de-paperspace with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ImNobody/whisper-base-de-paperspace")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("ImNobody/whisper-base-de-paperspace") model = AutoModelForSpeechSeq2Seq.from_pretrained("ImNobody/whisper-base-de-paperspace") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b6336823e6e38ff8f41bbda9faba54464d082adb4fea85fc4fa3b41e230cf49b
- Size of remote file:
- 967 MB
- SHA256:
- 7514addab2f2230019e5b3d66ec54abc0db5ab3cbf7f182d44a93af485881378
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