Instructions to use Nekshay/Finetuned-MobilVIT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nekshay/Finetuned-MobilVIT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Nekshay/Finetuned-MobilVIT") 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("Nekshay/Finetuned-MobilVIT") model = AutoModelForImageClassification.from_pretrained("Nekshay/Finetuned-MobilVIT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download LC.pdf from Nekshay/Finetuned-MobilVIT: direct link, hf CLI and curl.
- Browser
- Download file 15.9 kB
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https://huggingface.co/Nekshay/Finetuned-MobilVIT/resolve/main/LC.pdf
- Command line
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hf download hf://Nekshay/Finetuned-MobilVIT/LC.pdf
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curl -L -o LC.pdf https://huggingface.co/Nekshay/Finetuned-MobilVIT/resolve/main/LC.pdf
15.9 kB