Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Arabic
whisper
arabic
Generated from Trainer
Eval Results (legacy)
Instructions to use itskavya/whisper-large-informal-arabic-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use itskavya/whisper-large-informal-arabic-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="itskavya/whisper-large-informal-arabic-base")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("itskavya/whisper-large-informal-arabic-base") model = AutoModelForMultimodalLM.from_pretrained("itskavya/whisper-large-informal-arabic-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dfe7ace7ed78a9c962b7fdf1de0e5fd2352ce88dd459e1a3e0af91e2089286f4
- Size of remote file:
- 4.99 GB
- SHA256:
- 51b329c419eedc83818750b2d83bee235d356f716ddf32526aa08bf45e581086
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