Instructions to use apple/mobileclip_b_timm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use apple/mobileclip_b_timm with timm:
import timm model = timm.create_model("hf_hub:apple/mobileclip_b_timm", pretrained=True) - Notebooks
- Google Colab
- Kaggle
| { | |
| "architecture": "vit_base_mci_224", | |
| "num_classes": 512, | |
| "num_features": 768, | |
| "global_pool": "token", | |
| "pretrained_cfg": { | |
| "tag": "apple_mclip", | |
| "custom_load": false, | |
| "input_size": [ | |
| 3, | |
| 224, | |
| 224 | |
| ], | |
| "fixed_input_size": true, | |
| "interpolation": "bicubic", | |
| "crop_pct": 0.9, | |
| "crop_mode": "center", | |
| "mean": [ | |
| 0.0, | |
| 0.0, | |
| 0.0 | |
| ], | |
| "std": [ | |
| 1.0, | |
| 1.0, | |
| 1.0 | |
| ], | |
| "num_classes": 512, | |
| "pool_size": null, | |
| "first_conv": "patch_embed.backbone.0.conv", | |
| "classifier": "head" | |
| } | |
| } |