Instructions to use strakajk/LynxV3-MegaDescriptor-T-224 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use strakajk/LynxV3-MegaDescriptor-T-224 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("strakajk/LynxV3-MegaDescriptor-T-224", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architecture": "swin_tiny_patch4_window7_224", | |
| "num_classes": 0, | |
| "num_features": 768, | |
| "global_pool": "avg", | |
| "pretrained_cfg": { | |
| "custom_load": false, | |
| "input_size": [ | |
| 3, | |
| 224, | |
| 224 | |
| ], | |
| "fixed_input_size": true, | |
| "interpolation": "bicubic", | |
| "crop_pct": 0.9, | |
| "crop_mode": "center", | |
| "mean": [ | |
| 0.485, | |
| 0.456, | |
| 0.406 | |
| ], | |
| "std": [ | |
| 0.229, | |
| 0.224, | |
| 0.225 | |
| ], | |
| "num_classes": 0, | |
| "pool_size": [ | |
| 7, | |
| 7 | |
| ], | |
| "first_conv": "patch_embed.proj", | |
| "license": "mit", | |
| "classifier": "head.fc" | |
| } | |
| } |