Instructions to use Mojtabazarrin/whisper-tiny-fa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mojtabazarrin/whisper-tiny-fa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Mojtabazarrin/whisper-tiny-fa")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Mojtabazarrin/whisper-tiny-fa") model = AutoModelForSpeechSeq2Seq.from_pretrained("Mojtabazarrin/whisper-tiny-fa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 434959f24773d3bdb51a34d50ad4883773876d2b17852cfa500877098eca5fdb
- Size of remote file:
- 151 MB
- SHA256:
- 10d6af94dc746faa9029a6c82019edf02aab559a437e30c1b4ead2a4b76e4c59
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