Upload tiny models for YolosModel
Browse files- config.json +43 -0
- preprocessor_config.json +25 -0
- pytorch_model.bin +3 -0
config.json
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{
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"architectures": [
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"YolosModel"
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],
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"attention_probs_dropout_prob": 0.1,
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"auxiliary_loss": false,
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"bbox_cost": 5,
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"bbox_loss_coefficient": 5,
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"class_cost": 1,
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"eos_coefficient": 0.1,
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"giou_cost": 2,
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"giou_loss_coefficient": 2,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 32,
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1",
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"2": "LABEL_2"
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},
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"image_size": [
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30,
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30
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],
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"initializer_range": 0.02,
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"intermediate_size": 37,
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1,
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"LABEL_2": 2
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},
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"layer_norm_eps": 1e-12,
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"model_type": "yolos",
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"num_attention_heads": 4,
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"num_channels": 3,
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"num_detection_tokens": 10,
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"num_hidden_layers": 5,
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"patch_size": 2,
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"qkv_bias": true,
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"torch_dtype": "float32",
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"transformers_version": "4.25.0.dev0",
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"use_mid_position_embeddings": true
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}
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preprocessor_config.json
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{
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"crop_size": [
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30,
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30
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],
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"do_normalize": true,
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"do_resize": true,
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"feature_extractor_type": "YolosFeatureExtractor",
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"format": "coco_detection",
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"image_mean": [
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0.485,
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0.456,
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0.406
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],
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"image_std": [
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0.229,
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0.224,
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0.225
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],
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"max_size": 1333,
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"size": [
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30,
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30
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]
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:a8c4c5ded52a7992627e980234d76cd7a209a2d4b76d60b616872b1eb4fd50dd
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size 322687
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