Automatic Speech Recognition
Transformers
PyTorch
Persian
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use steja/whisper-small-persian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use steja/whisper-small-persian with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="steja/whisper-small-persian")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("steja/whisper-small-persian") model = AutoModelForSpeechSeq2Seq.from_pretrained("steja/whisper-small-persian") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- checkpoint-1000
- checkpoint-1500
- checkpoint-2000
- checkpoint-2500
- checkpoint-3000
- checkpoint-3500
- checkpoint-4000
- checkpoint-4500
- checkpoint-500
- checkpoint-5000
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- 13 Bytes
- 2.56 kB
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- 347 Bytes
- 1 kB
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- 494 kB
- 52.7 kB
- 185 kB
- 967 MB xet
- 2.06 kB
- 829 Bytes
- 170 Bytes
- 26.9 kB
- 3.58 kB xet
- 1.04 MB