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:
- cd0c34dd44b42e83bdec9a775778b90272985fbf2b2b53a2614a518c44df110c
- Size of remote file:
- 151 MB
- SHA256:
- fcf4ddcfb16465386e44800989576d119c75b2e34974c3441e20e536dac74baf
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