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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8e039e7dc0c31fc5eeec7efe7c477e954745e0fd6c81ea7579fabf2ea085b0a7
- Size of remote file:
- 3.58 kB
- SHA256:
- bda70737a84052aee98fe01ec95a00d27783f83ee9889ee9d6ffa0984826347e
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