commit files to HF hub

README.md

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+---
+tags:
+- image-classification
+- pytorch
+- huggingpics
+metrics:
+- accuracy
+
+model-index:
+- name: dog-races-v2
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    metrics:
+      - name: Accuracy
+        type: accuracy
+        value: 0.8299999833106995
+---
+
+# dog-races-v2
+
+
+Autogenerated by HuggingPics🤗🖼️
+
+Create your own image classifier for **anything** by running [the demo on Google Colab](https://colab.research.google.com/github/nateraw/huggingpics/blob/main/HuggingPics.ipynb).
+
+Report any issues with the demo at the [github repo](https://github.com/nateraw/huggingpics).
+
+
+## Example Images
+
+
+#### Border Collie
+
+![Border Collie](images/Border_Collie.jpg)
+
+#### Chow Chow dog
+
+![Chow Chow dog](images/Chow_Chow_dog.jpg)
+
+#### German Shepherd
+
+![German Shepherd](images/German_Shepherd.jpg)
+
+#### Golden Retriever
+
+![Golden Retriever](images/Golden_Retriever.jpg)
+
+#### Pug
+
+![Pug](images/Pug.jpg)
+
+#### Rottweiler
+
+![Rottweiler](images/Rottweiler.jpg)
+
+#### Shiba Inu
+
+![Shiba Inu](images/Shiba_Inu.jpg)
+
+#### Siberian Husky
+
+![Siberian Husky](images/Siberian_Husky.jpg)
+
+#### Tibetan Mastiff
+
+![Tibetan Mastiff](images/Tibetan_Mastiff.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": "Border Collie",
+    "1": "Chow Chow dog",
+    "2": "German Shepherd",
+    "3": "Golden Retriever",
+    "4": "Pug",
+    "5": "Rottweiler",
+    "6": "Shiba Inu",
+    "7": "Siberian Husky",
+    "8": "Tibetan Mastiff"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Border Collie": "0",
+    "Chow Chow dog": "1",
+    "German Shepherd": "2",
+    "Golden Retriever": "3",
+    "Pug": "4",
+    "Rottweiler": "5",
+    "Shiba Inu": "6",
+    "Siberian Husky": "7",
+    "Tibetan Mastiff": "8"
+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "vit",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "patch_size": 16,
+  "torch_dtype": "float32",
+  "transformers_version": "4.9.0"
+}

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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+size 343298545

runs/events.out.tfevents.1626979718.f8168911ebc4.63.0

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