methodw commited on
Commit
872460c
•
1 Parent(s): bd9a56b

switch to dinov2-large

Browse files
{dinov2-base → dinov2-large}/config.json RENAMED
@@ -1,6 +1,4 @@
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  {
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- "_name_or_path": "facebook/dinov2-base",
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- "apply_layernorm": true,
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  "architectures": [
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  "Dinov2Model"
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  ],
@@ -8,41 +6,19 @@
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  "drop_path_rate": 0.0,
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  "hidden_act": "gelu",
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  "hidden_dropout_prob": 0.0,
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- "hidden_size": 768,
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  "image_size": 518,
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  "initializer_range": 0.02,
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  "layer_norm_eps": 1e-06,
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  "layerscale_value": 1.0,
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  "mlp_ratio": 4,
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  "model_type": "dinov2",
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- "num_attention_heads": 12,
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  "num_channels": 3,
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- "num_hidden_layers": 12,
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- "out_features": [
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- "stage12"
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- ],
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- "out_indices": [
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- 12
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- ],
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  "patch_size": 14,
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  "qkv_bias": true,
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- "reshape_hidden_states": true,
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- "stage_names": [
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- "stem",
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- "stage1",
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- "stage2",
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- "stage3",
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- "stage4",
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- "stage5",
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- "stage6",
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- "stage7",
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- "stage8",
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- "stage9",
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- "stage10",
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- "stage11",
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- "stage12"
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- ],
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  "torch_dtype": "float32",
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- "transformers_version": "4.34.0",
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  "use_swiglu_ffn": false
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  }
 
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  {
 
 
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  "architectures": [
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  "Dinov2Model"
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  ],
 
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  "drop_path_rate": 0.0,
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  "hidden_act": "gelu",
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  "hidden_dropout_prob": 0.0,
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+ "hidden_size": 1024,
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  "image_size": 518,
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  "initializer_range": 0.02,
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  "layer_norm_eps": 1e-06,
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  "layerscale_value": 1.0,
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  "mlp_ratio": 4,
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  "model_type": "dinov2",
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+ "num_attention_heads": 16,
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  "num_channels": 3,
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+ "num_hidden_layers": 24,
 
 
 
 
 
 
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  "patch_size": 14,
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  "qkv_bias": true,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  "torch_dtype": "float32",
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+ "transformers_version": "4.31.0.dev0",
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  "use_swiglu_ffn": false
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  }
{dinov2-base → dinov2-large}/preprocessor_config.json RENAMED
File without changes
{dinov2-base → dinov2-large}/pytorch_model.bin RENAMED
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