commit files to HF hub

.gitattributes

@@ -33,3 +33,9 @@ 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/Vinfast_Fadil.jpeg filter=lfs diff=lfs merge=lfs -text
+images/Vinfast_Lux_A2.0.jpeg filter=lfs diff=lfs merge=lfs -text
+images/Vinfast_Lux_SA2.0.jpeg filter=lfs diff=lfs merge=lfs -text
+images/Vinfast_President.jpeg filter=lfs diff=lfs merge=lfs -text
+images/Vinfast_VF_8.jpeg filter=lfs diff=lfs merge=lfs -text
+images/Vinfast_VF_e34.jpeg filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,56 @@
+---
+tags:
+- image-classification
+- pytorch
+- huggingpics
+metrics:
+- accuracy
+
+model-index:
+- name: vinfast-car-classifier
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    metrics:
+      - name: Accuracy
+        type: accuracy
+        value: 0.7647058963775635
+---
+
+# vinfast-car-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
+
+
+#### Vinfast_Fadil
+
+![Vinfast_Fadil](images/Vinfast_Fadil.jpeg)
+
+#### Vinfast_Lux_A2.0
+
+![Vinfast_Lux_A2.0](images/Vinfast_Lux_A2.0.jpeg)
+
+#### Vinfast_Lux_SA2.0
+
+![Vinfast_Lux_SA2.0](images/Vinfast_Lux_SA2.0.jpeg)
+
+#### Vinfast_President
+
+![Vinfast_President](images/Vinfast_President.jpeg)
+
+#### Vinfast_VF_8
+
+![Vinfast_VF_8](images/Vinfast_VF_8.jpeg)
+
+#### Vinfast_VF_e34
+
+![Vinfast_VF_e34](images/Vinfast_VF_e34.jpeg)

config.json

@@ -0,0 +1,40 @@
+{
+  "_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": "Vinfast_Fadil",
+    "1": "Vinfast_Lux_A2.0",
+    "2": "Vinfast_Lux_SA2.0",
+    "3": "Vinfast_President",
+    "4": "Vinfast_VF_8",
+    "5": "Vinfast_VF_e34"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Vinfast_Fadil": "0",
+    "Vinfast_Lux_A2.0": "1",
+    "Vinfast_Lux_SA2.0": "2",
+    "Vinfast_President": "3",
+    "Vinfast_VF_8": "4",
+    "Vinfast_VF_e34": "5"
+  },
+  "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": "4.31.0"
+}

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
+  }
+}

pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4cfebe24c3bfd12fe593262b8278e28a23c7c4e4aab84c9b450eb66d99c60b1c
+size 343278253

runs/events.out.tfevents.1690892069.3bce5b6ce63f.599.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c8cdd3eccafc1aed5186de5ac1923ee236d8f8bbcf3e2b77cae451b374809a6c
+size 1020