Automatic Speech Recognition
Transformers
PyTorch
Persian
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use steja/whisper-large-persian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use steja/whisper-large-persian with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="steja/whisper-large-persian")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("steja/whisper-large-persian") model = AutoModelForSpeechSeq2Seq.from_pretrained("steja/whisper-large-persian") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dbe64329aefe34740704a61bd1351eb9f82f5c794d40ca4284fca88ea5b3ef58
- Size of remote file:
- 3.09 GB
- SHA256:
- c69858479e8cb157065522b2831a1f06b1167ea286ec37c7709fc9442a7e6461
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