Instructions to use Sofia-gb/cherrypick-sigLip8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sofia-gb/cherrypick-sigLip8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Sofia-gb/cherrypick-sigLip8", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Sofia-gb/cherrypick-sigLip8", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 552 Bytes
f303d70 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 | {
"auto_map": {
"AutoProcessor": "Marqo/marqo-fashionSigLIP--marqo_fashionSigLIP.MarqoFashionSigLIPProcessor"
},
"do_convert_rgb": true,
"do_normalize": true,
"do_rescale": true,
"do_resize": true,
"image_mean": [
0.5,
0.5,
0.5
],
"image_processor_type": "SiglipImageProcessor",
"image_std": [
0.5,
0.5,
0.5
],
"processor_class": "MarqoFashionSigLIPProcessor",
"resample": 3,
"rescale_factor": 0.00392156862745098,
"size": {
"height": 224,
"width": 224
}
}
|