Instructions to use sngsfydy/MobileViT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sngsfydy/MobileViT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="sngsfydy/MobileViT") 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("sngsfydy/MobileViT") model = AutoModelForImageClassification.from_pretrained("sngsfydy/MobileViT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0851e8d5a30edee9b96dbf516978daa4cd9a45064a4af91579c01f0e3db6a56d
- Size of remote file:
- 19.9 MB
- SHA256:
- 294c87d1cf70f81815ad0d5d515bf4cd42043981bf2c94506cd60fcd6de0bb75
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