Commit From AutoTrain
Browse files- .gitattributes +3 -0
- README.md +37 -0
- config.json +119 -0
- model.safetensors +3 -0
- preprocessor_config.json +23 -0
- pytorch_model.bin +3 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.bin.* filter=lfs diff=lfs merge=lfs -text
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*.tar.gz filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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tags:
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- autotrain
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- vision
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- image-classification
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datasets:
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- OttoYu/autotrain-data-tree-inspection
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widget:
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- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
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example_title: Tiger
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- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
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example_title: Teapot
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- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/palace.jpg
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example_title: Palace
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co2_eq_emissions:
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emissions: 2.1481896644746374
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---
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# Model Trained Using AutoTrain
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- Problem type: Multi-class Classification
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- Model ID: 87833143598
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- CO2 Emissions (in grams): 2.1482
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## Validation Metrics
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- Loss: 1.251
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- Accuracy: 0.652
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- Macro F1: 0.594
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- Micro F1: 0.652
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- Weighted F1: 0.620
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- Macro Precision: 0.629
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- Micro Precision: 0.652
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- Weighted Precision: 0.642
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- Macro Recall: 0.617
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- Micro Recall: 0.652
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- Weighted Recall: 0.652
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config.json
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{
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"_name_or_path": "AutoTrain",
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"architectures": [
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"SwinForImageClassification"
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],
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"attention_probs_dropout_prob": 0.0,
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"depths": [
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2,
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2,
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6,
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2
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],
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"drop_path_rate": 0.1,
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"embed_dim": 96,
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"encoder_stride": 32,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.0,
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"hidden_size": 768,
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"id2label": {
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"0": "Asymmetric tree canopy \u6a39\u51a0\uf967\u5c0d\u7a31",
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"1": "Bleedingsap flow \u6ef2\u6db2",
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"10": "Crown reducedexcessively thinned topped \u6a39\u51a0\u5927\u5e45\u6e1b\u5c11\u524a\u9802\u622a\u982d",
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"11": "Cut pruning roots \u6839\u90e8\u7d93\ufa00\u5272\u6216\u622a\u6839",
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"12": "Dead branches Hangers \u67af\u6b7b \u61f8\u540a\u65b7\u679d",
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"13": "Dead surface roots \u6839\u90e8\u8150\u58de",
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"14": "Dieback twigs \u67af\u679d",
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"15": "Epicormics \u6c34\u6a6b\u679d",
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"16": "Exposed dead wood \u67af\u5e79\u5916\uf938",
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"17": "Fungal Fruiting Bodies \u5448\u73fe\u771f\u83cc\u5b50\u5be6\u9ad4",
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"18": "Girdling roots \u7e8f\u7e5e\u6839",
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"19": "Heavy crown load \u6a39\u51a0\u8ca0\u8377\u592a\u91cd",
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"2": "Bulge \u816b\u8139",
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"20": "Heavy lateral limb \u91cd\u5074\u679d",
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"21": "Included bark \u5167\u593e\u6a39\u76ae",
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"22": "Lion\u2019s tailing \u7345\u5c3e",
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"23": "Multiple stems \u591a\u679d\u5e79",
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"24": "Parasitic or Epiphytic plants \u5bc4\u751f\u9644\u751f\u690d\u7269",
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"25": "Root flare collar not visible \u6839\u810a\uf967\u73fe",
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"26": "Root-plate movement \u6839\u57fa\u79fb\u4f4d",
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"27": "Signs of pests and disease \u5448\u73fe\u75c5\u87f2\u5bb3\u5fb5\uf9fa",
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"28": "Termites borers injury \u767d\u87fb\u6216\u86c0\u5fc3\u87f2\u86c0\u8755",
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"29": "Wounds Mechanical injury \u660e\u986f\u50b7\u75d5\u6a5f\u68b0\u7834\u640d",
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"3": "Cavities \u6a39\ufa05",
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"4": "Co-dominant branches \u7b49\u52e2\u679d",
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"5": "Co-dominant trunks \u7b49\u52e2\u5e79",
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"6": "Cracks or Fissures on branches \u6a39\u5e79\u6709\u88c2\u7e2b\u6216\u88c2\u958b",
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"7": "Cracks splits \uf9a0\u7e2b \uf9a0\u958b",
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"8": "Crooks abrupt bends \uf967\u5e38\u898f\u5f4e\u66f2",
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"9": "Cross branches \u758a\u679d"
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},
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"image_size": 224,
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"initializer_range": 0.02,
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"label2id": {
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"Asymmetric tree canopy \u6a39\u51a0\uf967\u5c0d\u7a31": "0",
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"Bleedingsap flow \u6ef2\u6db2": "1",
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| 56 |
+
"Bulge \u816b\u8139": "2",
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| 57 |
+
"Cavities \u6a39\ufa05": "3",
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| 58 |
+
"Co-dominant branches \u7b49\u52e2\u679d": "4",
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+
"Co-dominant trunks \u7b49\u52e2\u5e79": "5",
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| 60 |
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"Cracks or Fissures on branches \u6a39\u5e79\u6709\u88c2\u7e2b\u6216\u88c2\u958b": "6",
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| 61 |
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"Cracks splits \uf9a0\u7e2b \uf9a0\u958b": "7",
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| 62 |
+
"Crooks abrupt bends \uf967\u5e38\u898f\u5f4e\u66f2": "8",
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| 63 |
+
"Cross branches \u758a\u679d": "9",
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| 64 |
+
"Crown reducedexcessively thinned topped \u6a39\u51a0\u5927\u5e45\u6e1b\u5c11\u524a\u9802\u622a\u982d": "10",
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"Cut pruning roots \u6839\u90e8\u7d93\ufa00\u5272\u6216\u622a\u6839": "11",
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| 66 |
+
"Dead branches Hangers \u67af\u6b7b \u61f8\u540a\u65b7\u679d": "12",
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| 67 |
+
"Dead surface roots \u6839\u90e8\u8150\u58de": "13",
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| 68 |
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"Dieback twigs \u67af\u679d": "14",
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"Epicormics \u6c34\u6a6b\u679d": "15",
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| 70 |
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"Exposed dead wood \u67af\u5e79\u5916\uf938": "16",
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| 71 |
+
"Fungal Fruiting Bodies \u5448\u73fe\u771f\u83cc\u5b50\u5be6\u9ad4": "17",
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| 72 |
+
"Girdling roots \u7e8f\u7e5e\u6839": "18",
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| 73 |
+
"Heavy crown load \u6a39\u51a0\u8ca0\u8377\u592a\u91cd": "19",
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| 74 |
+
"Heavy lateral limb \u91cd\u5074\u679d": "20",
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| 75 |
+
"Included bark \u5167\u593e\u6a39\u76ae": "21",
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| 76 |
+
"Lion\u2019s tailing \u7345\u5c3e": "22",
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| 77 |
+
"Multiple stems \u591a\u679d\u5e79": "23",
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| 78 |
+
"Parasitic or Epiphytic plants \u5bc4\u751f\u9644\u751f\u690d\u7269": "24",
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| 79 |
+
"Root flare collar not visible \u6839\u810a\uf967\u73fe": "25",
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| 80 |
+
"Root-plate movement \u6839\u57fa\u79fb\u4f4d": "26",
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| 81 |
+
"Signs of pests and disease \u5448\u73fe\u75c5\u87f2\u5bb3\u5fb5\uf9fa": "27",
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| 82 |
+
"Termites borers injury \u767d\u87fb\u6216\u86c0\u5fc3\u87f2\u86c0\u8755": "28",
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| 83 |
+
"Wounds Mechanical injury \u660e\u986f\u50b7\u75d5\u6a5f\u68b0\u7834\u640d": "29"
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},
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"layer_norm_eps": 1e-05,
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"max_length": 128,
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"mlp_ratio": 4.0,
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"model_type": "swin",
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"num_channels": 3,
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"num_heads": [
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3,
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6,
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12,
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24
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],
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"num_layers": 4,
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"out_features": [
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"stage4"
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],
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"out_indices": [
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4
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],
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"padding": "max_length",
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"patch_size": 4,
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"path_norm": true,
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"problem_type": "single_label_classification",
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"qkv_bias": true,
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"stage_names": [
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"stem",
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"stage1",
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"stage2",
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"stage3",
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"stage4"
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],
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"torch_dtype": "float32",
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"transformers_version": "4.29.2",
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"use_absolute_embeddings": false,
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"window_size": 7
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:3f81d30e11e67c326627697f0f3b1e803571e9ab46293ce874befca8c324c202
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size 110428968
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preprocessor_config.json
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{
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"do_normalize": true,
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"do_rescale": true,
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"do_resize": true,
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"feature_extractor_type": "ViTFeatureExtractor",
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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_processor_type": "ViTFeatureExtractor",
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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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"resample": 3,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"height": 224,
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"width": 224
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}
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}
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pytorch_model.bin
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:8a0c51ab232ab91192cee130b8dc337b0947b8cc49499e09d1fd95047b8be0fc
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| 3 |
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size 110480945
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