praeclarumjj3
commited on
Commit
•
d962224
1
Parent(s):
da593c5
Add model
Browse files- config.json +412 -0
- pytorch_model.bin +3 -0
config.json
ADDED
@@ -0,0 +1,412 @@
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1 |
+
{
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2 |
+
"architectures": [
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+
"OneFormerForUniversalSegmentation"
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+
],
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5 |
+
"backbone_config": {
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6 |
+
"attention_probs_dropout_prob": 0.0,
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+
"depths": [
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3,
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9 |
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4,
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18,
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11 |
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5
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+
],
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+
"dilations": [
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[
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1,
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+
20,
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+
1
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],
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[
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1,
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+
5,
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+
1,
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10
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+
],
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[
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+
1,
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2,
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1,
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3,
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1,
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4,
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1,
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5,
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1,
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2,
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1,
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3,
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1,
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4,
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1,
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5,
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1,
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5
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],
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[
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1,
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2,
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1,
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2,
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1
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]
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],
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+
"drop_path_rate": 0.3,
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+
"embed_dim": 192,
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55 |
+
"encoder_stride": 32,
|
56 |
+
"feature_channels": [
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192,
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384,
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768,
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1536
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],
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"hidden_act": "gelu",
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+
"hidden_dropout_prob": 0,
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+
"kernel_size": 11,
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65 |
+
"layer_scale_init_value": 0.0,
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+
"mlp_ratio": 2.0,
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"num_channels": 3,
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"num_heads": [
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6,
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12,
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24,
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48
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],
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"patch_size": 4,
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"qkv_bias": true,
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"strides": [
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4,
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8,
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16,
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+
32
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]
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},
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+
"decoder_config": {
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+
"common_stride": 4,
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+
"conv_dim": 256,
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86 |
+
"decoder_layers": 10,
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+
"dim_feedforward": 2048,
|
88 |
+
"dropout": 0.1,
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89 |
+
"encoder_feedforward_dim": 1024,
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90 |
+
"encoder_layers": 6,
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91 |
+
"enforce_input_proj": false,
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92 |
+
"hidden_dim": 256,
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93 |
+
"mask_dim": 256,
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94 |
+
"norm": "GN",
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95 |
+
"num_heads": 8,
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96 |
+
"pre_norm": false,
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+
"query_dec_layers": 2,
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+
"use_task_norm": true
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+
},
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+
"general_config": {
|
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+
"backbone_type": "dinat",
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102 |
+
"class_weight": 2.0,
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103 |
+
"contrastive_temperature": 0.07,
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104 |
+
"contrastive_weight": 0.5,
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105 |
+
"deep_supervision": true,
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106 |
+
"dice_weight": 5.0,
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107 |
+
"ignore_value": 255,
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108 |
+
"importance_sample_ratio": 0.75,
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109 |
+
"init_std": 0.02,
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110 |
+
"init_xavier_std": 1.0,
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111 |
+
"is_train": false,
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112 |
+
"layer_norm_eps": 1e-05,
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113 |
+
"mask_weight": 5.0,
|
114 |
+
"no_object_weight": 0.1,
|
115 |
+
"num_classes": 133,
|
116 |
+
"num_queries": 150,
|
117 |
+
"output_auxiliary_logits": true,
|
118 |
+
"oversample_ratio": 3.0,
|
119 |
+
"train_num_points": 12544,
|
120 |
+
"use_auxiliary_loss": true
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+
},
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+
"hidden_size": 256,
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123 |
+
"id2label": {
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124 |
+
"0": "person",
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125 |
+
"1": "bicycle",
|
126 |
+
"2": "car",
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127 |
+
"3": "motorcycle",
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128 |
+
"4": "airplane",
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129 |
+
"5": "bus",
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130 |
+
"6": "train",
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131 |
+
"7": "truck",
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132 |
+
"8": "boat",
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133 |
+
"9": "traffic light",
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134 |
+
"10": "fire hydrant",
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135 |
+
"11": "stop sign",
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136 |
+
"12": "parking meter",
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137 |
+
"13": "bench",
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138 |
+
"14": "bird",
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139 |
+
"15": "cat",
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140 |
+
"16": "dog",
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141 |
+
"17": "horse",
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142 |
+
"18": "sheep",
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143 |
+
"19": "cow",
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144 |
+
"20": "elephant",
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145 |
+
"21": "bear",
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146 |
+
"22": "zebra",
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147 |
+
"23": "giraffe",
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148 |
+
"24": "backpack",
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149 |
+
"25": "umbrella",
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150 |
+
"26": "handbag",
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151 |
+
"27": "tie",
|
152 |
+
"28": "suitcase",
|
153 |
+
"29": "frisbee",
|
154 |
+
"30": "skis",
|
155 |
+
"31": "snowboard",
|
156 |
+
"32": "sports ball",
|
157 |
+
"33": "kite",
|
158 |
+
"34": "baseball bat",
|
159 |
+
"35": "baseball glove",
|
160 |
+
"36": "skateboard",
|
161 |
+
"37": "surfboard",
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162 |
+
"38": "tennis racket",
|
163 |
+
"39": "bottle",
|
164 |
+
"40": "wine glass",
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165 |
+
"41": "cup",
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166 |
+
"42": "fork",
|
167 |
+
"43": "knife",
|
168 |
+
"44": "spoon",
|
169 |
+
"45": "bowl",
|
170 |
+
"46": "banana",
|
171 |
+
"47": "apple",
|
172 |
+
"48": "sandwich",
|
173 |
+
"49": "orange",
|
174 |
+
"50": "broccoli",
|
175 |
+
"51": "carrot",
|
176 |
+
"52": "hot dog",
|
177 |
+
"53": "pizza",
|
178 |
+
"54": "donut",
|
179 |
+
"55": "cake",
|
180 |
+
"56": "chair",
|
181 |
+
"57": "couch",
|
182 |
+
"58": "potted plant",
|
183 |
+
"59": "bed",
|
184 |
+
"60": "dining table",
|
185 |
+
"61": "toilet",
|
186 |
+
"62": "tv",
|
187 |
+
"63": "laptop",
|
188 |
+
"64": "mouse",
|
189 |
+
"65": "remote",
|
190 |
+
"66": "keyboard",
|
191 |
+
"67": "cell phone",
|
192 |
+
"68": "microwave",
|
193 |
+
"69": "oven",
|
194 |
+
"70": "toaster",
|
195 |
+
"71": "sink",
|
196 |
+
"72": "refrigerator",
|
197 |
+
"73": "book",
|
198 |
+
"74": "clock",
|
199 |
+
"75": "vase",
|
200 |
+
"76": "scissors",
|
201 |
+
"77": "teddy bear",
|
202 |
+
"78": "hair drier",
|
203 |
+
"79": "toothbrush",
|
204 |
+
"80": "banner",
|
205 |
+
"81": "blanket",
|
206 |
+
"82": "bridge",
|
207 |
+
"83": "cardboard",
|
208 |
+
"84": "counter",
|
209 |
+
"85": "curtain",
|
210 |
+
"86": "door-stuff",
|
211 |
+
"87": "floor-wood",
|
212 |
+
"88": "flower",
|
213 |
+
"89": "fruit",
|
214 |
+
"90": "gravel",
|
215 |
+
"91": "house",
|
216 |
+
"92": "light",
|
217 |
+
"93": "mirror-stuff",
|
218 |
+
"94": "net",
|
219 |
+
"95": "pillow",
|
220 |
+
"96": "platform",
|
221 |
+
"97": "playingfield",
|
222 |
+
"98": "railroad",
|
223 |
+
"99": "river",
|
224 |
+
"100": "road",
|
225 |
+
"101": "roof",
|
226 |
+
"102": "sand",
|
227 |
+
"103": "sea",
|
228 |
+
"104": "shelf",
|
229 |
+
"105": "snow",
|
230 |
+
"106": "stairs",
|
231 |
+
"107": "tent",
|
232 |
+
"108": "towel",
|
233 |
+
"109": "wall-brick",
|
234 |
+
"110": "wall-stone",
|
235 |
+
"111": "wall-tile",
|
236 |
+
"112": "wall-wood",
|
237 |
+
"113": "water-other",
|
238 |
+
"114": "window-blind",
|
239 |
+
"115": "window-other",
|
240 |
+
"116": "tree-merged",
|
241 |
+
"117": "fence-merged",
|
242 |
+
"118": "ceiling-merged",
|
243 |
+
"119": "sky-other-merged",
|
244 |
+
"120": "cabinet-merged",
|
245 |
+
"121": "table-merged",
|
246 |
+
"122": "floor-other-merged",
|
247 |
+
"123": "pavement-merged",
|
248 |
+
"124": "mountain-merged",
|
249 |
+
"125": "grass-merged",
|
250 |
+
"126": "dirt-merged",
|
251 |
+
"127": "paper-merged",
|
252 |
+
"128": "food-other-merged",
|
253 |
+
"129": "building-other-merged",
|
254 |
+
"130": "rock-merged",
|
255 |
+
"131": "wall-other-merged",
|
256 |
+
"132": "rug-merged"
|
257 |
+
},
|
258 |
+
"init_std": 0.02,
|
259 |
+
"init_xavier_std": 1.0,
|
260 |
+
"label2id": {
|
261 |
+
"airplane": 4,
|
262 |
+
"apple": 47,
|
263 |
+
"backpack": 24,
|
264 |
+
"banana": 46,
|
265 |
+
"banner": 80,
|
266 |
+
"baseball bat": 34,
|
267 |
+
"baseball glove": 35,
|
268 |
+
"bear": 21,
|
269 |
+
"bed": 59,
|
270 |
+
"bench": 13,
|
271 |
+
"bicycle": 1,
|
272 |
+
"bird": 14,
|
273 |
+
"blanket": 81,
|
274 |
+
"boat": 8,
|
275 |
+
"book": 73,
|
276 |
+
"bottle": 39,
|
277 |
+
"bowl": 45,
|
278 |
+
"bridge": 82,
|
279 |
+
"broccoli": 50,
|
280 |
+
"building-other-merged": 129,
|
281 |
+
"bus": 5,
|
282 |
+
"cabinet-merged": 120,
|
283 |
+
"cake": 55,
|
284 |
+
"car": 2,
|
285 |
+
"cardboard": 83,
|
286 |
+
"carrot": 51,
|
287 |
+
"cat": 15,
|
288 |
+
"ceiling-merged": 118,
|
289 |
+
"cell phone": 67,
|
290 |
+
"chair": 56,
|
291 |
+
"clock": 74,
|
292 |
+
"couch": 57,
|
293 |
+
"counter": 84,
|
294 |
+
"cow": 19,
|
295 |
+
"cup": 41,
|
296 |
+
"curtain": 85,
|
297 |
+
"dining table": 60,
|
298 |
+
"dirt-merged": 126,
|
299 |
+
"dog": 16,
|
300 |
+
"donut": 54,
|
301 |
+
"door-stuff": 86,
|
302 |
+
"elephant": 20,
|
303 |
+
"fence-merged": 117,
|
304 |
+
"fire hydrant": 10,
|
305 |
+
"floor-other-merged": 122,
|
306 |
+
"floor-wood": 87,
|
307 |
+
"flower": 88,
|
308 |
+
"food-other-merged": 128,
|
309 |
+
"fork": 42,
|
310 |
+
"frisbee": 29,
|
311 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
325 |
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|
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|
327 |
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|
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|
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|
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|
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|
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|
333 |
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|
334 |
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|
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|
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|
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|
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|
339 |
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|
340 |
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|
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|
342 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
365 |
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|
366 |
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"suitcase": 28,
|
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|
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|
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|
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|
371 |
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|
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|
373 |
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|
374 |
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|
375 |
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|
376 |
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|
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|
378 |
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"train": 6,
|
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"tree-merged": 116,
|
380 |
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"truck": 7,
|
381 |
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"tv": 62,
|
382 |
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"umbrella": 25,
|
383 |
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|
384 |
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|
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|
386 |
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|
387 |
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|
388 |
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|
389 |
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|
390 |
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"window-blind": 114,
|
391 |
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|
392 |
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"wine glass": 40,
|
393 |
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"zebra": 22
|
394 |
+
},
|
395 |
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"model_type": "oneformer",
|
396 |
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"num_attention_heads": 8,
|
397 |
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"num_hidden_layers": 10,
|
398 |
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"output_attentions": true,
|
399 |
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"output_hidden_states": true,
|
400 |
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"text_encoder_config": {
|
401 |
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"max_seq_len": 77,
|
402 |
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"task_seq_len": 77,
|
403 |
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"text_encoder_context_length": 77,
|
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"text_encoder_n_ctx": 16,
|
405 |
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|
406 |
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|
407 |
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"text_encoder_vocab_size": 49408,
|
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"text_encoder_width": 256
|
409 |
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},
|
410 |
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"torch_dtype": "float32",
|
411 |
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"transformers_version": "4.25.0.dev0"
|
412 |
+
}
|
pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
+
oid sha256:edd2b4d02b8b498af82bab75dbc7110392d1d5b7573820440e2bc2d34a65b53a
|
3 |
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size 893082029
|