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
| { | |
| "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 | |
| } | |