Instructions to use JoshuaKelleyDs/quickdraw-MobileVIT-xxs-finetune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JoshuaKelleyDs/quickdraw-MobileVIT-xxs-finetune with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="JoshuaKelleyDs/quickdraw-MobileVIT-xxs-finetune") 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("JoshuaKelleyDs/quickdraw-MobileVIT-xxs-finetune") model = AutoModelForImageClassification.from_pretrained("JoshuaKelleyDs/quickdraw-MobileVIT-xxs-finetune", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 975fd49613b5a9dd8b0c38f2f89b7edfa8414c3b7d6000e9b96243bdf9c655e7
- Size of remote file:
- 4.31 MB
- SHA256:
- de4bcfa7c6264b62561f6b6c488c53b7b113755327eb9caade5da82f4b6cffff
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