Instructions to use aaa12963337/msi-swinv2-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aaa12963337/msi-swinv2-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="aaa12963337/msi-swinv2-tiny") 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("aaa12963337/msi-swinv2-tiny") model = AutoModelForImageClassification.from_pretrained("aaa12963337/msi-swinv2-tiny", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 366 Bytes
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"do_normalize": true,
"do_rescale": true,
"do_resize": true,
"image_mean": [
0.69261899,
0.51298305,
0.7263637
],
"image_processor_type": "ViTImageProcessor",
"image_std": [
0.13099993,
0.18332116,
0.14441279
],
"resample": 3,
"rescale_factor": 0.00392156862745098,
"size": {
"height": 256,
"width": 256
}
}
|