AMLR license (#1)

- AMLR license (afa91cefbdadf12fa47f93a61937b62e5c8889f2)

README.md

@@ -1,171 +1,171 @@
 ---
 library_name: transformers
-license: apple-ascl
+license: apple-amlr
 metrics:
 - accuracy
+pipeline_tag: image-feature-extraction
+tags:
+- vision
+- image-feature-extraction
+- mlx
+- pytorch
 model-index:
 - name: aimv2-1B-patch14-448
   results:
-  - dataset:
+  - task:
+      type: classification
+      name: Classification
+    dataset:
       name: imagenet-1k
       type: imagenet-1k
     metrics:
-    - name: Accuracy
-      type: accuracy
+    - type: accuracy
       value: 89.0
+      name: Accuracy
       verified: false
-    task:
-      name: Classification
+  - task:
       type: classification
-  - dataset:
+      name: Classification
+    dataset:
       name: inaturalist-18
       type: inaturalist-18
     metrics:
-    - name: Accuracy
-      type: accuracy
+    - type: accuracy
       value: 83.8
+      name: Accuracy
       verified: false
-    task:
-      name: Classification
+  - task:
       type: classification
-  - dataset:
+      name: Classification
+    dataset:
       name: cifar10
       type: cifar10
     metrics:
-    - name: Accuracy
-      type: accuracy
+    - type: accuracy
       value: 99.4
+      name: Accuracy
       verified: false
-    task:
-      name: Classification
+  - task:
       type: classification
-  - dataset:
+      name: Classification
+    dataset:
       name: cifar100
       type: cifar100
     metrics:
-    - name: Accuracy
-      type: accuracy
+    - type: accuracy
       value: 94.1
+      name: Accuracy
       verified: false
-    task:
-      name: Classification
+  - task:
       type: classification
-  - dataset:
+      name: Classification
+    dataset:
       name: food101
       type: food101
     metrics:
-    - name: Accuracy
-      type: accuracy
+    - type: accuracy
       value: 97.2
+      name: Accuracy
       verified: false
-    task:
-      name: Classification
+  - task:
       type: classification
-  - dataset:
+      name: Classification
+    dataset:
       name: dtd
       type: dtd
     metrics:
-    - name: Accuracy
-      type: accuracy
+    - type: accuracy
       value: 88.9
+      name: Accuracy
       verified: false
-    task:
-      name: Classification
+  - task:
       type: classification
-  - dataset:
+      name: Classification
+    dataset:
       name: oxford-pets
       type: oxford-pets
     metrics:
-    - name: Accuracy
-      type: accuracy
+    - type: accuracy
       value: 97.1
+      name: Accuracy
       verified: false
-    task:
-      name: Classification
+  - task:
       type: classification
-  - dataset:
+      name: Classification
+    dataset:
       name: stanford-cars
       type: stanford-cars
     metrics:
-    - name: Accuracy
-      type: accuracy
+    - type: accuracy
       value: 96.6
+      name: Accuracy
       verified: false
-    task:
-      name: Classification
+  - task:
       type: classification
-  - dataset:
+      name: Classification
+    dataset:
       name: camelyon17
       type: camelyon17
     metrics:
-    - name: Accuracy
-      type: accuracy
+    - type: accuracy
       value: 93.5
+      name: Accuracy
       verified: false
-    task:
-      name: Classification
+  - task:
       type: classification
-  - dataset:
+      name: Classification
+    dataset:
       name: patch-camelyon
       type: patch-camelyon
     metrics:
-    - name: Accuracy
-      type: accuracy
+    - type: accuracy
       value: 89.9
+      name: Accuracy
       verified: false
-    task:
-      name: Classification
+  - task:
       type: classification
-  - dataset:
+      name: Classification
+    dataset:
       name: rxrx1
       type: rxrx1
     metrics:
-    - name: Accuracy
-      type: accuracy
+    - type: accuracy
       value: 9.2
+      name: Accuracy
       verified: false
-    task:
-      name: Classification
+  - task:
       type: classification
-  - dataset:
+      name: Classification
+    dataset:
       name: eurosat
       type: eurosat
     metrics:
-    - name: Accuracy
-      type: accuracy
+    - type: accuracy
       value: 99.1
+      name: Accuracy
       verified: false
-    task:
-      name: Classification
+  - task:
       type: classification
-  - dataset:
+      name: Classification
+    dataset:
       name: fmow
       type: fmow
     metrics:
-    - name: Accuracy
-      type: accuracy
+    - type: accuracy
       value: 65.9
+      name: Accuracy
       verified: false
-    task:
-      name: Classification
+  - task:
       type: classification
-  - dataset:
+      name: Classification
+    dataset:
       name: domainnet-infographic
       type: domainnet-infographic
     metrics:
-    - name: Accuracy
-      type: accuracy
+    - type: accuracy
       value: 74.4
+      name: Accuracy
       verified: false
-    task:
-      name: Classification
-      type: classification
-pipeline_tag: image-feature-extraction
-tags:
-- vision
-- image-feature-extraction
-- mlx
-- pytorch
 ---
 # Introduction
 [[`AIMv2 Paper`](https://arxiv.org/abs/2411.14402)] [[`BibTeX`](#citation)]