commit files to HF hub

.gitattributes

@@ -32,3 +32,8 @@ 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/combine_harvester.jpg filter=lfs diff=lfs merge=lfs -text
+images/tesla_car.jpg filter=lfs diff=lfs merge=lfs -text
+images/tractor.jpg filter=lfs diff=lfs merge=lfs -text
+images/truck_volvo.jpg filter=lfs diff=lfs merge=lfs -text
+images/veteran_car.jpg filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,52 @@
+---
+tags:
+- image-classification
+- pytorch
+- huggingpics
+metrics:
+- accuracy
+
+model-index:
+- name: maskiner
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    metrics:
+      - name: Accuracy
+        type: accuracy
+        value: 0.8035714030265808
+---
+
+# maskiner
+
+
+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
+
+
+#### combine harvester
+
+![combine harvester](images/combine_harvester.jpg)
+
+#### tesla car
+
+![tesla car](images/tesla_car.jpg)
+
+#### tractor
+
+![tractor](images/tractor.jpg)
+
+#### truck volvo
+
+![truck volvo](images/truck_volvo.jpg)
+
+#### veteran car
+
+![veteran car](images/veteran_car.jpg)

config.json

@@ -0,0 +1,38 @@
+{
+  "_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": "combine harvester",
+    "1": "tesla car",
+    "2": "tractor",
+    "3": "truck volvo",
+    "4": "veteran car"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "combine harvester": "0",
+    "tesla car": "1",
+    "tractor": "2",
+    "truck volvo": "3",
+    "veteran car": "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": "4.28.1"
+}

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 sha256:728e7461d0399248e09b80e5afde1fd096d52e0786923c9875998a0132ed98e9
+size 343275181

runs/events.out.tfevents.1682510796.cbd05d3e8fc9.427.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:505039466c5d94e7a131fb45109cbbe0861e84cf824bc23797c17398032d6410
+size 1492