Instructions to use Sant0s3/Egyptian_dialect with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sant0s3/Egyptian_dialect with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Sant0s3/Egyptian_dialect")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Sant0s3/Egyptian_dialect") model = AutoModelForSpeechSeq2Seq.from_pretrained("Sant0s3/Egyptian_dialect") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 24c7a31233fec3fec1621e7ca9e499fd330644988b0d9e5fea06ded1df7cb00c
- Size of remote file:
- 6.03 kB
- SHA256:
- fa97b2938d754e39d9557ef68073986d5169e083dfb4aa6bdb2596a05112fc55
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