Instructions to use abuelnasr/whisper-medium-eg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abuelnasr/whisper-medium-eg with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="abuelnasr/whisper-medium-eg")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("abuelnasr/whisper-medium-eg") model = AutoModelForSpeechSeq2Seq.from_pretrained("abuelnasr/whisper-medium-eg", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7b740759b655ff5e16459e6f4b1a8d4a22c5ba6889e79f1d23149fa8d5ff01d8
- Size of remote file:
- 5.37 kB
- SHA256:
- 8bcc1c8ac15a8e2d08aa9660e57797f9f2b2302719803f9217c92f72e78af309
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