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: 280 Bytes
99ddb81 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"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
}
|