Upload folder using huggingface_hub
Browse files- config.json +47 -0
- onnx/model.onnx +3 -0
- onnx/model_quantized.onnx +3 -0
- preprocessor_config.json +27 -0
- quantize_config.json +34 -0
config.json
ADDED
@@ -0,0 +1,47 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "facebook/dinov2-small",
|
3 |
+
"apply_layernorm": true,
|
4 |
+
"architectures": [
|
5 |
+
"Dinov2Model"
|
6 |
+
],
|
7 |
+
"attention_probs_dropout_prob": 0.0,
|
8 |
+
"drop_path_rate": 0.0,
|
9 |
+
"hidden_act": "gelu",
|
10 |
+
"hidden_dropout_prob": 0.0,
|
11 |
+
"hidden_size": 384,
|
12 |
+
"image_size": 518,
|
13 |
+
"initializer_range": 0.02,
|
14 |
+
"layer_norm_eps": 1e-06,
|
15 |
+
"layerscale_value": 1.0,
|
16 |
+
"mlp_ratio": 4,
|
17 |
+
"model_type": "dinov2",
|
18 |
+
"num_attention_heads": 6,
|
19 |
+
"num_channels": 3,
|
20 |
+
"num_hidden_layers": 12,
|
21 |
+
"out_features": [
|
22 |
+
"stage12"
|
23 |
+
],
|
24 |
+
"out_indices": [
|
25 |
+
12
|
26 |
+
],
|
27 |
+
"patch_size": 14,
|
28 |
+
"qkv_bias": true,
|
29 |
+
"reshape_hidden_states": true,
|
30 |
+
"stage_names": [
|
31 |
+
"stem",
|
32 |
+
"stage1",
|
33 |
+
"stage2",
|
34 |
+
"stage3",
|
35 |
+
"stage4",
|
36 |
+
"stage5",
|
37 |
+
"stage6",
|
38 |
+
"stage7",
|
39 |
+
"stage8",
|
40 |
+
"stage9",
|
41 |
+
"stage10",
|
42 |
+
"stage11",
|
43 |
+
"stage12"
|
44 |
+
],
|
45 |
+
"transformers_version": "4.36.0.dev0",
|
46 |
+
"use_swiglu_ffn": false
|
47 |
+
}
|
onnx/model.onnx
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5a1403502d37980ac200d38540ecc749c95f45e218b118cf91adfd6b569df585
|
3 |
+
size 88458847
|
onnx/model_quantized.onnx
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0d0ba1220e3ace9e49fbb1a8a42f599d3f7911b341d0394e84f9d8ca1c3c60cd
|
3 |
+
size 24449968
|
preprocessor_config.json
ADDED
@@ -0,0 +1,27 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"crop_size": {
|
3 |
+
"height": 224,
|
4 |
+
"width": 224
|
5 |
+
},
|
6 |
+
"do_center_crop": true,
|
7 |
+
"do_convert_rgb": true,
|
8 |
+
"do_normalize": true,
|
9 |
+
"do_rescale": true,
|
10 |
+
"do_resize": true,
|
11 |
+
"image_mean": [
|
12 |
+
0.485,
|
13 |
+
0.456,
|
14 |
+
0.406
|
15 |
+
],
|
16 |
+
"image_processor_type": "BitImageProcessor",
|
17 |
+
"image_std": [
|
18 |
+
0.229,
|
19 |
+
0.224,
|
20 |
+
0.225
|
21 |
+
],
|
22 |
+
"resample": 3,
|
23 |
+
"rescale_factor": 0.00392156862745098,
|
24 |
+
"size": {
|
25 |
+
"shortest_edge": 256
|
26 |
+
}
|
27 |
+
}
|
quantize_config.json
ADDED
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"per_channel": true,
|
3 |
+
"reduce_range": true,
|
4 |
+
"per_model_config": {
|
5 |
+
"model": {
|
6 |
+
"op_types": [
|
7 |
+
"Softmax",
|
8 |
+
"Expand",
|
9 |
+
"Sqrt",
|
10 |
+
"Add",
|
11 |
+
"Mul",
|
12 |
+
"ConstantOfShape",
|
13 |
+
"Sub",
|
14 |
+
"Where",
|
15 |
+
"Transpose",
|
16 |
+
"ReduceMean",
|
17 |
+
"Concat",
|
18 |
+
"Gather",
|
19 |
+
"Shape",
|
20 |
+
"Div",
|
21 |
+
"Unsqueeze",
|
22 |
+
"Constant",
|
23 |
+
"MatMul",
|
24 |
+
"Reshape",
|
25 |
+
"Slice",
|
26 |
+
"Equal",
|
27 |
+
"Erf",
|
28 |
+
"Conv",
|
29 |
+
"Pow"
|
30 |
+
],
|
31 |
+
"weight_type": "QUInt8"
|
32 |
+
}
|
33 |
+
}
|
34 |
+
}
|