Instructions to use HelloJiang/LAION-CLIP-ConvNeXt-Large-512 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use HelloJiang/LAION-CLIP-ConvNeXt-Large-512 with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:HelloJiang/LAION-CLIP-ConvNeXt-Large-512') tokenizer = open_clip.get_tokenizer('hf-hub:HelloJiang/LAION-CLIP-ConvNeXt-Large-512') - Notebooks
- Google Colab
- Kaggle
| { | |
| "depths": [ | |
| 3, | |
| 3, | |
| 27, | |
| 3 | |
| ], | |
| "drop_path_rate": 0.0, | |
| "hidden_act": "gelu", | |
| "hidden_sizes": [ | |
| 192, | |
| 384, | |
| 768, | |
| 1536 | |
| ], | |
| "image_size": 512, | |
| "initializer_range": 0.02, | |
| "layer_norm_eps": 1e-12, | |
| "layer_scale_init_value": 1e-06, | |
| "model_type": "convnext", | |
| "num_channels": 3, | |
| "num_stages": 4, | |
| "out_features": [ | |
| "stage4" | |
| ], | |
| "out_indices": [ | |
| 4 | |
| ], | |
| "patch_size": 4, | |
| "stage_names": [ | |
| "stem", | |
| "stage1", | |
| "stage2", | |
| "stage3", | |
| "stage4" | |
| ], | |
| "transformers_version": "4.33.1" | |
| } | |