Instructions to use abdoeid/whisper-tiny-testing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abdoeid/whisper-tiny-testing with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="abdoeid/whisper-tiny-testing")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("abdoeid/whisper-tiny-testing") model = AutoModelForSpeechSeq2Seq.from_pretrained("abdoeid/whisper-tiny-testing") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4afc413a708637d1a37bdde0b0a34cf0423a9217ee70b2b2738899140c82ed83
- Size of remote file:
- 5.24 kB
- SHA256:
- 7951e7bc21511818a358399a01a5c26cc39e2971af2d61f01e602ebb632956d1
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