Instructions to use AlexWortega/Cliped with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use AlexWortega/Cliped with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:AlexWortega/Cliped') tokenizer = open_clip.get_tokenizer('hf-hub:AlexWortega/Cliped') - Notebooks
- Google Colab
- Kaggle
Download open_clip_config.json from AlexWortega/Cliped: direct link, hf CLI and curl.
- Browser
- Download file 525 Bytes
-
https://huggingface.co/AlexWortega/Cliped/resolve/main/open_clip_config.json
- Command line
-
hf download hf://AlexWortega/Cliped/open_clip_config.json
-
curl -L -o open_clip_config.json https://huggingface.co/AlexWortega/Cliped/resolve/main/open_clip_config.json
525 Bytes
| { | |
| "model_cfg": { | |
| "embed_dim": 1280, | |
| "vision_cfg": { | |
| "image_size": 224, | |
| "layers": 48, | |
| "width": 1664, | |
| "head_width": 104, | |
| "mlp_ratio": 4.9231, | |
| "patch_size": 14 | |
| }, | |
| "text_cfg": { | |
| "context_length": 77, | |
| "vocab_size": 49408, | |
| "width": 1280, | |
| "heads": 20, | |
| "layers": 32 | |
| } | |
| }, | |
| "preprocess_cfg": { | |
| "mean": [ | |
| 0.48145466, | |
| 0.4578275, | |
| 0.40821073 | |
| ], | |
| "std": [ | |
| 0.26862954, | |
| 0.26130258, | |
| 0.27577711 | |
| ] | |
| } | |
| } |