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ViT-B-16-SigLIP-i18n-256-hf

Zero-Shot Image Classification
Transformers
PyTorch
clip
siglip
Inference Endpoints
Model card Files Community
ViT-B-16-SigLIP-i18n-256-hf
File size: 891 Bytes 
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{
  "model_cfg": {
    "embed_dim": 768,
    "init_logit_bias": -10,
    "custom_text": true,
    "vision_cfg": {
      "image_size": 256,
      "timm_model_name": "vit_base_patch16_siglip_256",
      "timm_model_pretrained": false,
      "timm_pool": "map",
      "timm_proj": "none"
    },
    "text_cfg": {
      "context_length": 64,
      "vocab_size": 250000,
      "tokenizer_kwargs": {
        "clean": "canonicalize"
      },
      "width": 768,
      "heads": 12,
      "layers": 12,
      "no_causal_mask": true,
      "proj_bias": true,
      "pool_type": "last",
      "norm_kwargs": {
        "eps": 1e-06
      },
      "hf_tokenizer_name": "timm/ViT-B-16-SigLIP-i18n-256"
    }
  },
  "preprocess_cfg": {
    "mean": [
      0.5,
      0.5,
      0.5
    ],
    "std": [
      0.5,
      0.5,
      0.5
    ],
    "interpolation": "bicubic",
    "resize_mode": "squash"
  }
}