Upload 5 files

config.json

@@ -0,0 +1,142 @@
+{
+  "_name_or_path": "/tmp/tmpsiz1m8cv",
+  "architectures": [
+    "YolosForObjectDetection"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "auxiliary_loss": false,
+  "bbox_cost": 5,
+  "bbox_loss_coefficient": 5,
+  "class_cost": 1,
+  "eos_coefficient": 0.1,
+  "giou_cost": 2,
+  "giou_loss_coefficient": 2,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 384,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3",
+    "4": "LABEL_4",
+    "5": "LABEL_5",
+    "6": "LABEL_6",
+    "7": "LABEL_7",
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+  "image_size": [
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+    864
+  ],
+  "initializer_range": 0.02,
+  "intermediate_size": 1536,
+  "label2id": {
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+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "yolos",
+  "num_attention_heads": 6,
+  "num_channels": 3,
+  "num_detection_tokens": 100,
+  "num_hidden_layers": 12,
+  "patch_size": 16,
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.35.2",
+  "use_mid_position_embeddings": true
+}

onnx/model.onnx

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+oid sha256:d5b25845519d7377923ef0b0351ed228a501ed8cc32b45dd81b82b25329b2c01
+size 122960589

onnx/model_quantized.onnx

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+oid sha256:3ae2d946c34dbdb4078362ec660069d7a226fc07aa7ef9f880c7fbb80fff91e7
+size 56775975

preprocessor_config.json

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+{
+  "do_normalize": true,
+  "do_pad": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "feature_extractor_type": "YolosFeatureExtractor",
+  "format": "coco_detection",
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "YolosFeatureExtractor",
+  "image_std": [
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+    0.224,
+    0.225
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+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
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+    "shortest_edge": 816
+  }
+}

quantize_config.json

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+{
+  "one_external_file": true,
+  "opset": null,
+  "optimization": {},
+  "optimum_version": "1.16.1",
+  "quantization": {
+    "activations_dtype": "QUInt8",
+    "activations_symmetric": false,
+    "format": "QOperator",
+    "is_static": false,
+    "mode": "IntegerOps",
+    "nodes_to_exclude": [],
+    "nodes_to_quantize": [],
+    "operators_to_quantize": [
+      "Conv",
+      "MatMul",
+      "Attention",
+      "LSTM",
+      "Gather",
+      "Transpose",
+      "EmbedLayerNormalization"
+    ],
+    "per_channel": false,
+    "qdq_add_pair_to_weight": false,
+    "qdq_dedicated_pair": false,
+    "qdq_op_type_per_channel_support_to_axis": {
+      "MatMul": 1
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+    "reduce_range": false,
+    "weights_dtype": "QUInt8",
+    "weights_symmetric": true
+  },
+  "transformers_version": "4.35.2",
+  "use_external_data_format": false
+}