Upload model
Browse files- config.json +11 -19
- model.safetensors +2 -2
config.json
CHANGED
@@ -1,19 +1,19 @@
|
|
1 |
{
|
2 |
-
"_name_or_path": "
|
3 |
"activation_dropout": 0.0,
|
4 |
"activation_function": "relu",
|
5 |
"architectures": [
|
6 |
-
"
|
7 |
],
|
8 |
"attention_dropout": 0.0,
|
9 |
"auxiliary_loss": false,
|
10 |
-
"backbone": "
|
11 |
"backbone_config": null,
|
12 |
"backbone_kwargs": null,
|
13 |
"bbox_cost": 5,
|
14 |
"bbox_loss_coefficient": 5,
|
15 |
-
"ce_loss_coefficient": 1,
|
16 |
"class_cost": 1,
|
|
|
17 |
"d_model": 256,
|
18 |
"decoder_attention_heads": 8,
|
19 |
"decoder_ffn_dim": 2048,
|
@@ -26,34 +26,26 @@
|
|
26 |
"encoder_ffn_dim": 2048,
|
27 |
"encoder_layerdrop": 0.0,
|
28 |
"encoder_layers": 6,
|
29 |
-
"eos_coefficient": 0.
|
30 |
"giou_cost": 2,
|
31 |
"giou_loss_coefficient": 2,
|
32 |
"id2label": {
|
33 |
-
"0": "
|
34 |
-
"1": "
|
35 |
-
"2": "table row",
|
36 |
-
"3": "table column header",
|
37 |
-
"4": "table projected row header",
|
38 |
-
"5": "table spanning cell"
|
39 |
},
|
40 |
"init_std": 0.02,
|
41 |
"init_xavier_std": 1.0,
|
42 |
"is_encoder_decoder": true,
|
43 |
"label2id": {
|
44 |
-
"
|
45 |
-
"
|
46 |
-
"table column header": 3,
|
47 |
-
"table projected row header": 4,
|
48 |
-
"table row": 2,
|
49 |
-
"table spanning cell": 5
|
50 |
},
|
51 |
"mask_loss_coefficient": 1,
|
52 |
"max_position_embeddings": 1024,
|
53 |
-
"model_type": "
|
54 |
"num_channels": 3,
|
55 |
"num_hidden_layers": 6,
|
56 |
-
"num_queries":
|
57 |
"position_embedding_type": "sine",
|
58 |
"scale_embedding": false,
|
59 |
"torch_dtype": "float32",
|
|
|
1 |
{
|
2 |
+
"_name_or_path": "facebook/detr-resnet-50",
|
3 |
"activation_dropout": 0.0,
|
4 |
"activation_function": "relu",
|
5 |
"architectures": [
|
6 |
+
"DetrModel"
|
7 |
],
|
8 |
"attention_dropout": 0.0,
|
9 |
"auxiliary_loss": false,
|
10 |
+
"backbone": "resnet50",
|
11 |
"backbone_config": null,
|
12 |
"backbone_kwargs": null,
|
13 |
"bbox_cost": 5,
|
14 |
"bbox_loss_coefficient": 5,
|
|
|
15 |
"class_cost": 1,
|
16 |
+
"classifier_dropout": 0.0,
|
17 |
"d_model": 256,
|
18 |
"decoder_attention_heads": 8,
|
19 |
"decoder_ffn_dim": 2048,
|
|
|
26 |
"encoder_ffn_dim": 2048,
|
27 |
"encoder_layerdrop": 0.0,
|
28 |
"encoder_layers": 6,
|
29 |
+
"eos_coefficient": 0.1,
|
30 |
"giou_cost": 2,
|
31 |
"giou_loss_coefficient": 2,
|
32 |
"id2label": {
|
33 |
+
"0": "row",
|
34 |
+
"1": "column"
|
|
|
|
|
|
|
|
|
35 |
},
|
36 |
"init_std": 0.02,
|
37 |
"init_xavier_std": 1.0,
|
38 |
"is_encoder_decoder": true,
|
39 |
"label2id": {
|
40 |
+
"column": 1,
|
41 |
+
"row": 0
|
|
|
|
|
|
|
|
|
42 |
},
|
43 |
"mask_loss_coefficient": 1,
|
44 |
"max_position_embeddings": 1024,
|
45 |
+
"model_type": "detr",
|
46 |
"num_channels": 3,
|
47 |
"num_hidden_layers": 6,
|
48 |
+
"num_queries": 100,
|
49 |
"position_embedding_type": "sine",
|
50 |
"scale_embedding": false,
|
51 |
"torch_dtype": "float32",
|
model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d87fc9d1c03777cb0d6d40df62cdea6b8c008ea4bd296d5135d826f3aabcf0f0
|
3 |
+
size 165958320
|