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:
- fc8379f81b9f3473cb43323800e2be784b9eaf73967416031889fa6703d17feb
- Size of remote file:
- 3.06 GB
- SHA256:
- 2a3fcba155ea56e9b56742d5ddb347d8ce8476a1942a46dc2e0c8246f331da4a
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