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
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a117c0e20a0391994cf31d1769a4511a2ca8edc98e9c541fee1f73915bba56b1
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size 151061672
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