Instructions to use Sant0s3/Egyptian_dialect_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sant0s3/Egyptian_dialect_v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Sant0s3/Egyptian_dialect_v2")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Sant0s3/Egyptian_dialect_v2") model = AutoModelForSpeechSeq2Seq.from_pretrained("Sant0s3/Egyptian_dialect_v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4ef8e8ff981fafc11735126c761ac54e30732aa03ab84e253beac767a734bcfa
- Size of remote file:
- 6.03 kB
- SHA256:
- 8911304da59d84b94877e098ee3c046d0adb68863d6321c0ae85edf8193701cc
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