Instructions to use MoHamdyy/whisper-stt-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MoHamdyy/whisper-stt-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="MoHamdyy/whisper-stt-model")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("MoHamdyy/whisper-stt-model") model = AutoModelForSpeechSeq2Seq.from_pretrained("MoHamdyy/whisper-stt-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fd7cf5cc712f9c79031f9d702516bc0f366353dce9fc56d33426e04cb1df554c
- Size of remote file:
- 5.5 kB
- SHA256:
- 78cd6c36edc527844dcad00501ba928c4bd39ffa0ae98019d953dc84b841119c
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