Instructions to use visheratin/nllb-siglip-mrl-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use visheratin/nllb-siglip-mrl-base with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:visheratin/nllb-siglip-mrl-base') tokenizer = open_clip.get_tokenizer('hf-hub:visheratin/nllb-siglip-mrl-base') - Notebooks
- Google Colab
- Kaggle
| { | |
| "auto_map": { | |
| "AutoConfig": "nllb_mrl.MatryoshkaNllbClipConfig", | |
| "AutoModel": "nllb_mrl.MatryoshkaNllbClip" | |
| }, | |
| "clip_model_name": "nllb-clip-base-siglip", | |
| "clip_model_version": "v1", | |
| "mrl_resolutions": [ | |
| 32, | |
| 64, | |
| 128, | |
| 256, | |
| 512 | |
| ], | |
| "target_resolution": 768, | |
| "preprocess_cfg": { | |
| "size": 384, | |
| "mean": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "std": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "interpolation": "bicubic", | |
| "resize_mode": "squash" | |
| } | |
| } | |