commit files to HF hub

README.md

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+---
+tags:
+- image-classification
+- pytorch
+- huggingpics
+metrics:
+- accuracy
+
+model-index:
+- name: tattoo-studios
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    metrics:
+      - name: Accuracy
+        type: accuracy
+        value: 0.5
+---
+
+# tattoo-studios
+
+
+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

config.json

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+{
+  "_name_or_path": "google/vit-base-patch16-224",
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "Aquarell Tattoos",
+    "1": "Bedeutung der Tribal Tattoos",
+    "2": "Blackwork Tattoo",
+    "3": "Cover-Up Tattoo",
+    "4": "Dotwork Tattoos",
+    "5": "Fineline Tattoos",
+    "6": "Geschiche der Maori Tattoos",
+    "7": "Japanische Tattoos in Leipzig",
+    "8": "Narben Tattoo",
+    "9": "Portrait Tattoos",
+    "10": "Realistic Tattoos",
+    "11": "Totenkopf Tattoos",
+    "12": "Trashpolka Tattoos",
+    "13": "Tribal Tattoo",
+    "14": "Wikinger Tattoos"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Aquarell Tattoos": 0,
+    "Bedeutung der Tribal Tattoos": 1,
+    "Blackwork Tattoo": 2,
+    "Cover-Up Tattoo": 3,
+    "Dotwork Tattoos": 4,
+    "Fineline Tattoos": 5,
+    "Geschiche der Maori Tattoos": 6,
+    "Japanische Tattoos in Leipzig": 7,
+    "Narben Tattoo": 8,
+    "Portrait Tattoos": 9,
+    "Realistic Tattoos": 10,
+    "Totenkopf Tattoos": 11,
+    "Trashpolka Tattoos": 12,
+    "Tribal Tattoo": 13,
+    "Wikinger Tattoos": 14
+  },
+  "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": "4.34.1"
+}

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
+  }
+}

pytorch_model.bin

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+size 343306410

runs/events.out.tfevents.1698673552.655e36725b6a.702.1

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