From origin 0.79

.gitattributes

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 *.zip filter=lfs diff=lfs merge=lfs -text
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README.md

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+---
+tags:
+- image-classification
+- pytorch
+- huggingpics
+metrics:
+- accuracy
+
+model-index:
+- name: demo-car-v1
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    metrics:
+      - name: Accuracy
+        type: accuracy
+        value: 0.7920792102813721
+---
+
+# demo-car-v1
+
+
+['BENTLEY', 'Porsche', 'Rolls-Royce', 'Volkswagen', 'audi', 'benz', 'bmw', 'honda', 'lexus', 'toyota']
+
+
+## Example Images
+
+
+# #### BENTLEY
+
+# ![BENTLEY](images/0.jpg)
+# 
+# #### Porsche
+
+# ![Porsche](images/1.jpg)
+# 
+# #### Rolls-Royce
+
+# ![Rolls-Royce](images/2.jpg)
+# 
+# #### Volkswagen
+
+# ![Volkswagen](images/3.jpg)
+# 
+# #### audi
+
+# ![audi](images/4.jpg)
+# 
+# #### benz
+
+# ![benz](images/5.jpg)
+# 
+# #### bmw
+
+# ![bmw](images/6.jpg)
+# 
+# #### honda
+
+# ![honda](images/7.jpg)
+# 
+# #### lexus
+
+# ![lexus](images/8.jpg)
+# 
+# #### toyota
+
+# ![toyota](images/9.jpg)
+#

config.json

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+{
+  "_name_or_path": "google/vit-base-patch16-224-in21k",
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "BENTLEY",
+    "1": "Porsche",
+    "2": "Rolls-Royce",
+    "3": "Volkswagen",
+    "4": "audi",
+    "5": "benz",
+    "6": "bmw",
+    "7": "honda",
+    "8": "lexus",
+    "9": "toyota"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "BENTLEY": "0",
+    "Porsche": "1",
+    "Rolls-Royce": "2",
+    "Volkswagen": "3",
+    "audi": "4",
+    "benz": "5",
+    "bmw": "6",
+    "honda": "7",
+    "lexus": "8",
+    "toyota": "9"
+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "vit",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "patch_size": 16,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.35.2"
+}

model.safetensors

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preprocessor_config.json

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+{
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_processor_type": "ViTFeatureExtractor",
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 224,
+    "width": 224
+  }
+}

runs/events.out.tfevents.1700381634.a4e45e385a69.761.1

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