Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Pashto
whisper
Generated from Trainer
Instructions to use ihanif/whisper-turbo-ar-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ihanif/whisper-turbo-ar-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ihanif/whisper-turbo-ar-v2")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("ihanif/whisper-turbo-ar-v2") model = AutoModelForMultimodalLM.from_pretrained("ihanif/whisper-turbo-ar-v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5206de8d2bba15c06235f1c0a74903dcc9494730909a911c5098d0cb4329f1a2
- Size of remote file:
- 5.37 kB
- SHA256:
- 3cf98199ccc385976467ae0241e4581118d36e73bc2ba99f9fdaad8df4caf27a
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