Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Arabic
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use lorenzoncina/whisper-medium-ar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lorenzoncina/whisper-medium-ar with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="lorenzoncina/whisper-medium-ar")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("lorenzoncina/whisper-medium-ar") model = AutoModelForSpeechSeq2Seq.from_pretrained("lorenzoncina/whisper-medium-ar") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fbf712cfc924078c967871956b28732a2a72be30a62345b00d46d730a93a51b0
- Size of remote file:
- 3.71 kB
- SHA256:
- c16717ae3bc712febf85d6100e8b17335391e47fb4bd10da23fc0b1ef9297453
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