Image Feature Extraction
Transformers
Safetensors
csd
feature-extraction
style-similarity
custom_code
Instructions to use bigshanedogg/CSD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bigshanedogg/CSD with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="bigshanedogg/CSD", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("bigshanedogg/CSD", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 414 Bytes
99ddb81 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"image_processor_type": "CLIPImageProcessor",
"do_resize": true,
"size": {"shortest_edge": 224},
"resample": 3,
"do_center_crop": true,
"crop_size": {"height": 224, "width": 224},
"do_rescale": true,
"rescale_factor": 0.00392156862745098,
"do_normalize": true,
"image_mean": [0.48145466, 0.4578275, 0.40821073],
"image_std": [0.26862954, 0.26130258, 0.27577711],
"do_convert_rgb": true
}
|