commit files to HF hub

.gitattributes

@@ -33,3 +33,12 @@ 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.jpg filter=lfs diff=lfs merge=lfs -text
+images/Bathroom.jpg filter=lfs diff=lfs merge=lfs -text
+images/Bedroom.jpg filter=lfs diff=lfs merge=lfs -text
+images/Closet.jpg filter=lfs diff=lfs merge=lfs -text
+images/House.jpg filter=lfs diff=lfs merge=lfs -text
+images/Kitchen.jpg filter=lfs diff=lfs merge=lfs -text
+images/Living_room.jpg filter=lfs diff=lfs merge=lfs -text
+images/Office_room.jpg filter=lfs diff=lfs merge=lfs -text
+images/Study_room.jpg filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,68 @@
+---
+tags:
+- image-classification
+- pytorch
+- huggingpics
+metrics:
+- accuracy
+
+model-index:
+- name: GPTers_11th_Real_Estate_Classifier
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    metrics:
+      - name: Accuracy
+        type: accuracy
+        value: 0.7029703259468079
+---
+
+# GPTers_11th_Real_Estate_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
+
+![Apartment](images/Apartment.jpg)
+
+#### Bathroom
+
+![Bathroom](images/Bathroom.jpg)
+
+#### Bedroom
+
+![Bedroom](images/Bedroom.jpg)
+
+#### Closet
+
+![Closet](images/Closet.jpg)
+
+#### House
+
+![House](images/House.jpg)
+
+#### Kitchen
+
+![Kitchen](images/Kitchen.jpg)
+
+#### Living room
+
+![Living room](images/Living_room.jpg)
+
+#### Office room
+
+![Office room](images/Office_room.jpg)
+
+#### Study room
+
+![Study room](images/Study_room.jpg)

config.json

@@ -0,0 +1,46 @@
+{
+  "_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",
+    "1": "Bathroom",
+    "2": "Bedroom",
+    "3": "Closet",
+    "4": "House",
+    "5": "Kitchen",
+    "6": "Living room",
+    "7": "Office room",
+    "8": "Study room"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Apartment": "0",
+    "Bathroom": "1",
+    "Bedroom": "2",
+    "Closet": "3",
+    "House": "4",
+    "Kitchen": "5",
+    "Living room": "6",
+    "Office room": "7",
+    "Study room": "8"
+  },
+  "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": "4.41.2"
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:920ced662e3ad4da5b75defd2e1c6fae5b7ae6817863254fa9d1beab0da9241d
+size 343245508

preprocessor_config.json

@@ -0,0 +1,36 @@
+{
+  "_valid_processor_keys": [
+    "images",
+    "do_resize",
+    "size",
+    "resample",
+    "do_rescale",
+    "rescale_factor",
+    "do_normalize",
+    "image_mean",
+    "image_std",
+    "return_tensors",
+    "data_format",
+    "input_data_format"
+  ],
+  "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.1718879942.54f551476367.309.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5fc01d108fdcee1f65bdb9ac47f2ae84eaf68c36f952db7a42c390e088189b81
+size 1960