Upload MobileViTV2ForImageClassification

config.json

@@ -0,0 +1,55 @@
+{
+  "_name_or_path": "apple/mobilevitv2-1.0-imagenet1k-256",
+  "architectures": [
+    "MobileViTV2ForImageClassification"
+  ],
+  "aspp_dropout_prob": 0.1,
+  "aspp_out_channels": 512,
+  "atrous_rates": [
+    6,
+    12,
+    18
+  ],
+  "attn_dropout": 0.0,
+  "base_attn_unit_dims": [
+    128,
+    192,
+    256
+  ],
+  "classifier_dropout_prob": 0.1,
+  "conv_kernel_size": 3,
+  "expand_ratio": 2.0,
+  "ffn_dropout": 0.0,
+  "ffn_multiplier": 2,
+  "hidden_act": "swish",
+  "id2label": {
+    "0": "fresh",
+    "1": "most_fresh",
+    "2": "not_fresh",
+    "3": "spoiled"
+  },
+  "image_size": 256,
+  "initializer_range": 0.02,
+  "label2id": {
+    "fresh": "0",
+    "most_fresh": "1",
+    "not_fresh": "2",
+    "spoiled": "3"
+  },
+  "layer_norm_eps": 1e-05,
+  "mlp_ratio": 2.0,
+  "model_type": "mobilevitv2",
+  "n_attn_blocks": [
+    2,
+    4,
+    3
+  ],
+  "num_channels": 3,
+  "output_stride": 32,
+  "patch_size": 2,
+  "problem_type": "single_label_classification",
+  "semantic_loss_ignore_index": 255,
+  "torch_dtype": "float32",
+  "transformers_version": "4.34.0",
+  "width_multiplier": 1.0
+}

pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:07b9eea9e048c087ddfd85c08419e66ed08d620d1a0dc9a5438399c3e2dbfd11
+size 17724225