commit files to HF hub

.gitattributes

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+data/cane.jpeg filter=lfs diff=lfs merge=lfs -text
+data/cavallo.jpeg filter=lfs diff=lfs merge=lfs -text
+data/elefante.jpeg filter=lfs diff=lfs merge=lfs -text
+data/farfalla.jpeg filter=lfs diff=lfs merge=lfs -text
+data/gallina.jpeg filter=lfs diff=lfs merge=lfs -text
+data/gatto.jpeg filter=lfs diff=lfs merge=lfs -text
+data/mucca.jpeg filter=lfs diff=lfs merge=lfs -text
+data/pecora.jpeg filter=lfs diff=lfs merge=lfs -text
+data/ragno.jpeg filter=lfs diff=lfs merge=lfs -text
+data/scoiattolo.jpeg filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+tags:
+- image-classification
+- pytorch
+- huggingpics
+metrics:
+- accuracy
+
+model-index:
+- name: vit_classification_huggingface
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    metrics:
+      - name: Accuracy
+        type: accuracy
+---
+
+# vit_classification_huggingface
+
+
+Animal-10 dataset classification using Vision Transformer with Hugging Face.
+
+
+## Example Images
+
+
+#### cane
+
+![cane](images/cane.jpeg)
+
+#### cavallo
+
+![cavallo](images/cavallo.jpeg)
+
+#### elefante
+
+![elefante](images/elefante.jpeg)
+
+#### farfalla
+
+![farfalla](images/farfalla.jpeg)
+
+#### gallina
+
+![gallina](images/gallina.jpeg)
+
+#### gatto
+
+![gatto](images/gatto.jpeg)
+
+#### mucca
+
+![mucca](images/mucca.jpeg)
+
+#### pecora
+
+![pecora](images/pecora.jpeg)
+
+#### ragno
+
+![ragno](images/ragno.jpeg)
+
+#### scoiattolo
+
+![scoiattolo](images/scoiattolo.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": "cane",
+    "1": "cavallo",
+    "2": "elefante",
+    "3": "farfalla",
+    "4": "gallina",
+    "5": "gatto",
+    "6": "mucca",
+    "7": "pecora",
+    "8": "ragno",
+    "9": "scoiattolo"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "cane": "0",
+    "cavallo": "1",
+    "elefante": "2",
+    "farfalla": "3",
+    "gallina": "4",
+    "gatto": "5",
+    "mucca": "6",
+    "pecora": "7",
+    "ragno": "8",
+    "scoiattolo": "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": "4.22.0.dev0"
+}

preprocessor_config.json

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+{
+  "do_normalize": true,
+  "do_resize": true,
+  "feature_extractor_type": "ViTFeatureExtractor",
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "resample": 2,
+  "size": 224
+}

pytorch_model.bin

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