Instructions to use immich-app/ViT-L-16-SigLIP-256__webli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use immich-app/ViT-L-16-SigLIP-256__webli with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("immich-app/ViT-L-16-SigLIP-256__webli", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| {"embed_dim": 1024, "init_logit_bias": -10, "custom_text": true, "vision_cfg": {"image_size": 256, "timm_model_name": "vit_large_patch16_siglip_256", "timm_model_pretrained": false, "timm_pool": "map", "timm_proj": "none"}, "text_cfg": {"context_length": 64, "vocab_size": 32000, "hf_tokenizer_name": "timm/ViT-B-16-SigLIP", "tokenizer_kwargs": {"clean": "canonicalize"}, "width": 1024, "heads": 16, "layers": 24, "no_causal_mask": true, "proj_bias": true, "pool_type": "last", "norm_kwargs": {"eps": 1e-06}}} |