Instructions to use gaunernst/vit_tiny_patch8_112.arcface_ms1mv3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use gaunernst/vit_tiny_patch8_112.arcface_ms1mv3 with timm:
import timm model = timm.create_model("hf_hub:gaunernst/vit_tiny_patch8_112.arcface_ms1mv3", pretrained=True) - Notebooks
- Google Colab
- Kaggle
| { | |
| "architecture": "vit_tiny_patch16_224", | |
| "num_classes": 512, | |
| "num_features": 192, | |
| "global_pool": "token", | |
| "pretrained_cfg": { | |
| "input_size": [3, 112, 112], | |
| "fixed_input_size": true, | |
| "interpolation": "bicubic", | |
| "crop_pct": 1.0, | |
| "crop_mode": "center", | |
| "mean": [0.5, 0.5, 0.5], | |
| "std": [0.5, 0.5, 0.5], | |
| "num_classes": 512, | |
| "pool_size": null, | |
| "first_conv": "patch_embed.proj", | |
| "classifier": "head" | |
| }, | |
| "model_args": { | |
| "patch_size": 8 | |
| } | |
| } | |