commit files to HF hub

.gitattributes

@@ -35,3 +35,8 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
 images/aerea/11.jpg filter=lfs diff=lfs merge=lfs -text
 images/externa/238.jpg filter=lfs diff=lfs merge=lfs -text
+images/aerea.jpg filter=lfs diff=lfs merge=lfs -text
+images/externa.jpg filter=lfs diff=lfs merge=lfs -text
+images/fachada.jpg filter=lfs diff=lfs merge=lfs -text
+images/interna.jpg filter=lfs diff=lfs merge=lfs -text
+images/piscina.jpg filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,52 @@
+---
+tags:
+- image-classification
+- pytorch
+- huggingpics
+metrics:
+- accuracy
+
+model-index:
+- name: classify-real-estate-pics-284
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    metrics:
+      - name: Accuracy
+        type: accuracy
+        value: 0.9545454382896423
+---
+
+# classify-real-estate-pics-284
+
+
+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
+
+
+#### aerea
+
+![aerea](images/aerea.jpg)
+
+#### externa
+
+![externa](images/externa.jpg)
+
+#### fachada
+
+![fachada](images/fachada.jpg)
+
+#### interna
+
+![interna](images/interna.jpg)
+
+#### piscina
+
+![piscina](images/piscina.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": "aerea",
+    "1": "externa",
+    "2": "fachada",
+    "3": "interna",
+    "4": "piscina"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "aerea": "0",
+    "externa": "1",
+    "fachada": "2",
+    "interna": "3",
+    "piscina": "4"
+  },
+  "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": "4.44.2"
+}

model.safetensors

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+oid sha256:c825ef69619a149aa94df91ae07d715a715052cbebbd4e79f272609f4972bf85
+size 343233204

preprocessor_config.json

@@ -0,0 +1,22 @@
+{
+  "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.1730642758.02a09c9837a3.291.0

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+size 1210