Instructions to use VinayHajare/quickdraw-mobilevit-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VinayHajare/quickdraw-mobilevit-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="VinayHajare/quickdraw-mobilevit-small") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("VinayHajare/quickdraw-mobilevit-small") model = AutoModelForImageClassification.from_pretrained("VinayHajare/quickdraw-mobilevit-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 370 Bytes
2f11503 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | {
"crop_size": {
"height": 28,
"width": 28
},
"do_center_crop": true,
"do_convert_rgb": false,
"do_flip_channel_order": false,
"do_reduce_labels": false,
"do_rescale": true,
"do_resize": true,
"image_processor_type": "MobileViTImageProcessor",
"resample": 2,
"rescale_factor": 0.00392156862745098,
"size": {
"shortest_edge": 28
}
}
|