Instructions to use sngsfydy/MyMobileViT_8_12_2023 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sngsfydy/MyMobileViT_8_12_2023 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="sngsfydy/MyMobileViT_8_12_2023") 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/MyMobileViT_8_12_2023") model = AutoModelForImageClassification.from_pretrained("sngsfydy/MyMobileViT_8_12_2023") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 390548de29fb477321a694c2f21179d4fd470967fd0b27017376adebe86d1ecd
- Size of remote file:
- 19.9 MB
- SHA256:
- dd70e95c1725e386a2a2c02a1dd1ccd6eafecd16a317ef068264028c2ae6a47b
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