commit files to HF hub

README.md

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+---
+tags:
+- image-classification
+- pytorch
+- huggingpics
+metrics:
+- accuracy
+
+model-index:
+- name: baseball-stadium-foods
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    metrics:
+      - name: Accuracy
+        type: accuracy
+        value: 0.9107142686843872
+---
+
+# baseball-stadium-foods
+
+Autogenerated by HuggingPics🤗🖼️
+
+## Example Images
+
+
+#### cotton candy
+
+![cotton candy](images/cotton candy.jpg)
+
+#### hamburger
+
+![hamburger](images/hamburger.jpg)
+
+#### hot dog
+
+![hot dog](images/hot dog.jpg)
+
+#### nachos
+
+![nachos](images/nachos.jpg)
+
+#### popcorn
+
+![popcorn](images/popcorn.jpg)

config.json

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+{
+  "_name_or_path": "google/vit-base-patch16-224-in21k",
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "cotton candy",
+    "1": "hamburger",
+    "2": "hot dog",
+    "3": "nachos",
+    "4": "popcorn"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "cotton candy": "0",
+    "hamburger": "1",
+    "hot dog": "2",
+    "nachos": "3",
+    "popcorn": "4"
+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "vit",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "patch_size": 16,
+  "transformers_version": "4.8.1"
+}

preprocessor_config.json

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+{
+  "do_normalize": true,
+  "do_resize": true,
+  "feature_extractor_type": "ViTFeatureExtractor",
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "resample": 2,
+  "size": 224
+}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:d92f120f9bfcf6ec7e774a51cb69da8f0fe1d2f74b5ca5b42203cb46055ee391
+size 343286257