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:
- f6b7e68f84614bb130c56721a76206e3399f13bec4359a844bfdbc6aed2e8e23
- Size of remote file:
- 4.22 kB
- SHA256:
- eb4c716b49dd165740bf932a74c3a600575780c0ab3fcae7c879272f161e75a7
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