Instructions to use evageon/whisper-tiny-ar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use evageon/whisper-tiny-ar with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="evageon/whisper-tiny-ar")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("evageon/whisper-tiny-ar") model = AutoModelForSpeechSeq2Seq.from_pretrained("evageon/whisper-tiny-ar", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5baaf165796563bac720daf4d722f72b33ab86b0ccedc8ed9006caf1bdac146d
- Size of remote file:
- 3.63 kB
- SHA256:
- 2e4548e62253066e4e605cbe0c96b65e3dc33c81792a4b22d492ef121e0099f8
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