commit files to HF hub

.gitattributes

@@ -33,3 +33,15 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+images/apartment_bathroom filter=lfs diff=lfs merge=lfs -text
+images/apartment_bedroom filter=lfs diff=lfs merge=lfs -text
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+images/apartment_terrace filter=lfs diff=lfs merge=lfs -text
+images/apartment_yard filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+tags:
+- image-classification
+- pytorch
+- huggingpics
+metrics:
+- accuracy
+
+model-index:
+- name: flat_picture_classifier
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    metrics:
+      - name: Accuracy
+        type: accuracy
+        value: 0.7411764860153198
+---
+
+# flat_picture_classifier
+
+
+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
+
+
+#### apartment bathroom
+
+![apartment bathroom](images/apartment_bathroom)
+
+#### apartment bedroom
+
+![apartment bedroom](images/apartment_bedroom)
+
+#### apartment dining room
+
+![apartment dining room](images/apartment_dining_room)
+
+#### apartment house facade
+
+![apartment house facade](images/apartment_house_facade)
+
+#### apartment in-house gym
+
+![apartment in-house gym](images/apartment_in-house_gym.jpg)
+
+#### apartment indoor pool
+
+![apartment indoor pool](images/apartment_indoor_pool)
+
+#### apartment kitchen
+
+![apartment kitchen](images/apartment_kitchen)
+
+#### apartment living room
+
+![apartment living room](images/apartment_living_room)
+
+#### apartment outdoor pool
+
+![apartment outdoor pool](images/apartment_outdoor_pool.jpg)
+
+#### apartment study room
+
+![apartment study room](images/apartment_study_room)
+
+#### apartment terrace
+
+![apartment terrace](images/apartment_terrace)
+
+#### apartment yard
+
+![apartment yard](images/apartment_yard)

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": "apartment bathroom",
+    "1": "apartment bedroom",
+    "10": "apartment terrace",
+    "11": "apartment yard",
+    "2": "apartment dining room",
+    "3": "apartment house facade",
+    "4": "apartment in-house gym",
+    "5": "apartment indoor pool",
+    "6": "apartment kitchen",
+    "7": "apartment living room",
+    "8": "apartment outdoor pool",
+    "9": "apartment study room"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "apartment bathroom": "0",
+    "apartment bedroom": "1",
+    "apartment dining room": "2",
+    "apartment house facade": "3",
+    "apartment in-house gym": "4",
+    "apartment indoor pool": "5",
+    "apartment kitchen": "6",
+    "apartment living room": "7",
+    "apartment outdoor pool": "8",
+    "apartment study room": "9",
+    "apartment terrace": "10",
+    "apartment yard": "11"
+  },
+  "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": "4.43.1"
+}

images/apartment_bathroom

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images/apartment_bedroom

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images/apartment_dining_room

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images/apartment_indoor_pool

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images/apartment_kitchen

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images/apartment_living_room

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images/apartment_study_room

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images/apartment_terrace

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images/apartment_yard

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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
+  }
+}