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
whisper-medium-ar / runs /Apr06_15-52-22_atac-hawaii /events.out.tfevents.1680789156.atac-hawaii.3770953.0
- Xet hash:
- 4f07e95bb55114cb3de2effd0dea08c30475e1e7d292626f1f6ba100b72df3be
- Size of remote file:
- 71.1 kB
- SHA256:
- bd853c1aa5aff356317b4f020048f79db6dfcd14aaadd4490c23da99e9e34a1b
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