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") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 2000
Browse files
pytorch_model.bin
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runs/Dec08_17-44-31_150-136-95-73/events.out.tfevents.1670521481.150-136-95-73.1736.2
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