Instructions to use Aditya02/Vistar_Marathi_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aditya02/Vistar_Marathi_Model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Aditya02/Vistar_Marathi_Model")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Aditya02/Vistar_Marathi_Model") model = AutoModelForSpeechSeq2Seq.from_pretrained("Aditya02/Vistar_Marathi_Model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f9d59f6fe83b01c6f1ee1a0995cd79b4f9f4f80b82d23f5ee10b7d2ebffca711
- Size of remote file:
- 4.86 kB
- SHA256:
- ccc1dab24950f569c41e2c7c208eb9e5a36d516a8d4692bb2e013462f4683dce
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