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
| { | |
| "architectures": ["CSDModel"], | |
| "model_type": "csd", | |
| "auto_map": { | |
| "AutoConfig": "modeling_csd.CSDConfig", | |
| "AutoModel": "modeling_csd.CSDModel" | |
| }, | |
| "image_resolution": 224, | |
| "patch_size": 14, | |
| "width": 1024, | |
| "layers": 24, | |
| "heads": 16, | |
| "embed_dim": 768 | |
| } | |