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:
- 72f2dc9a7b53db0f715d9d84677f40ee80b4cc02e4b1f05cd887c0925d0c286f
- Size of remote file:
- 4.22 kB
- SHA256:
- 24f0d137ac0c7717e78969dfee61bd8813f2d701552d08b29046ceec1f6fc2b9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.