Instructions to use SrushtiR/Srushti with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SrushtiR/Srushti with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="SrushtiR/Srushti") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("SrushtiR/Srushti") model = AutoModelForImageClassification.from_pretrained("SrushtiR/Srushti", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1511dc2e21d3bcd9f7ca60aea23df7f52123148dda15b6f6506b98e40f68bbfb
- Size of remote file:
- 4.73 kB
- SHA256:
- 1cd8458497919537ebdcae7a56bae4f20f52185e9d96f18be7b046396bef9a3c
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