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")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Aditya02/Vistar_Marathi_Model") model = AutoModelForSpeechSeq2Seq.from_pretrained("Aditya02/Vistar_Marathi_Model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download latest from Aditya02/Vistar_Marathi_Model: direct link, hf CLI and curl.
- Browser
- Download file 15 Bytes
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https://huggingface.co/Aditya02/Vistar_Marathi_Model/resolve/main/latest
- Command line
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hf download hf://Aditya02/Vistar_Marathi_Model/latest
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curl -L -o latest https://huggingface.co/Aditya02/Vistar_Marathi_Model/resolve/main/latest
15 Bytes
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