commit files to HF hub

.gitattributes

@@ -33,3 +33,13 @@ 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
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+images/Datuk_Siamang_Gagap.jpg filter=lfs diff=lfs merge=lfs -text
+images/Mat_Kilau.jpg filter=lfs diff=lfs merge=lfs -text
+images/Mat_Salleh.jpg filter=lfs diff=lfs merge=lfs -text
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+images/Tok_Janggut.PNG filter=lfs diff=lfs merge=lfs -text
+images/YAM_Tuan_Antah.jpeg filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+tags:
+- image-classification
+- pytorch
+- huggingpics
+metrics:
+- accuracy
+
+model-index:
+- name: pahlawan_merdeka_66
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    metrics:
+      - name: Accuracy
+        type: accuracy
+        value: 0.9305555820465088
+---
+
+# pahlawan_merdeka_66
+
+
+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
+
+
+#### Abd Rahman Limbong
+
+![Abd Rahman Limbong](images/Abd_Rahman_Limbong.jpeg)
+
+#### Antanom
+
+![Antanom](images/Antanom.JPG)
+
+#### Dato Bahaman
+
+![Dato Bahaman](images/Dato_Bahaman.jpeg)
+
+#### Dato Magaraja Lela
+
+![Dato Magaraja Lela](images/Dato_Magaraja_Lela.jpeg)
+
+#### Datuk Siamang Gagap
+
+![Datuk Siamang Gagap](images/Datuk_Siamang_Gagap.jpg)
+
+#### Mat Kilau
+
+![Mat Kilau](images/Mat_Kilau.jpg)
+
+#### Mat Salleh
+
+![Mat Salleh](images/Mat_Salleh.jpg)
+
+#### Rentap
+
+![Rentap](images/Rentap.jpg)
+
+#### Tok Janggut
+
+![Tok Janggut](images/Tok_Janggut.PNG)
+
+#### YAM Tuan Antah
+
+![YAM Tuan Antah](images/YAM_Tuan_Antah.jpeg)

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": "Abd Rahman Limbong",
+    "1": "Antanom",
+    "2": "Dato Bahaman",
+    "3": "Dato Magaraja Lela",
+    "4": "Datuk Siamang Gagap",
+    "5": "Mat Kilau",
+    "6": "Mat Salleh",
+    "7": "Rentap",
+    "8": "Tok Janggut",
+    "9": "YAM Tuan Antah"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Abd Rahman Limbong": "0",
+    "Antanom": "1",
+    "Dato Bahaman": "2",
+    "Dato Magaraja Lela": "3",
+    "Datuk Siamang Gagap": "4",
+    "Mat Kilau": "5",
+    "Mat Salleh": "6",
+    "Rentap": "7",
+    "Tok Janggut": "8",
+    "YAM Tuan Antah": "9"
+  },
+  "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": "4.32.1"
+}

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
+  }
+}

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