Instructions to use JoshuaKelleyDs/quickdraw-MobileVITV2-2.0-Finetune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JoshuaKelleyDs/quickdraw-MobileVITV2-2.0-Finetune with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="JoshuaKelleyDs/quickdraw-MobileVITV2-2.0-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-MobileVITV2-2.0-Finetune") model = AutoModelForImageClassification.from_pretrained("JoshuaKelleyDs/quickdraw-MobileVITV2-2.0-Finetune", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e9f8fe3e5925d39713731782ae30752dd33cc66d00c63eaa27e3fdf332549659
- Size of remote file:
- 71.3 MB
- SHA256:
- c300259576684c0af329b0d510a8dd074ad1ada0211eb793e5fde762ab68a616
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