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Update tiny models for pipeline testing. (#24364)

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* fix

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
This commit is contained in:
Yih-Dar
2023-06-20 14:43:10 +02:00
committed by GitHub
parent 56efbf4301
commit c23d131eab
15 changed files with 110 additions and 29 deletions
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62
tests/utils/tiny_model_summary.json
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@@ -1597,7 +1597,8 @@
"EfficientFormerImageProcessor"
],
"model_classes": [
"EfficientFormerForImageClassification"
"EfficientFormerForImageClassification",
"TFEfficientFormerForImageClassification"
],
"sha": "ebadb628e12f268e321fcc756fa4606f7b5b3178"
},
@@ -1607,7 +1608,8 @@
"EfficientFormerImageProcessor"
],
"model_classes": [
"EfficientFormerForImageClassificationWithTeacher"
"EfficientFormerForImageClassificationWithTeacher",
"TFEfficientFormerForImageClassificationWithTeacher"
],
"sha": "1beabce6da9cb4ebbeafcd1ef23fac36b4a269e2"
},
@@ -1617,7 +1619,8 @@
"EfficientFormerImageProcessor"
],
"model_classes": [
"EfficientFormerModel"
"EfficientFormerModel",
"TFEfficientFormerModel"
],
"sha": "200fae5b875844d09c8a91d1c155b72b06a517f6"
},
@@ -1736,6 +1739,16 @@
],
"sha": "312b532cbef26610d80f2bd008650160cae4f7a1"
},
"EncodecModel": {
"tokenizer_classes": [],
"processor_classes": [
"EncodecFeatureExtractor"
],
"model_classes": [
"EncodecModel"
],
"sha": "e14c5a2fd6529c85cd4ac5a05ee9e550ced6a006"
},
"EncoderDecoderModel": {
"tokenizer_classes": [
"BertTokenizer",
@@ -3888,6 +3901,36 @@
],
"sha": "b3a1452e7cb44b600b21ee14f3d5382366855a46"
},
"MobileViTV2ForImageClassification": {
"tokenizer_classes": [],
"processor_classes": [
"MobileViTImageProcessor"
],
"model_classes": [
"MobileViTV2ForImageClassification"
],
"sha": "25752b0967ad594341d1b685401450d7f698433c"
},
"MobileViTV2ForSemanticSegmentation": {
"tokenizer_classes": [],
"processor_classes": [
"MobileViTImageProcessor"
],
"model_classes": [
"MobileViTV2ForSemanticSegmentation"
],
"sha": "13b953f50be33219d55a12f1098be38b88000897"
},
"MobileViTV2Model": {
"tokenizer_classes": [],
"processor_classes": [
"MobileViTImageProcessor"
],
"model_classes": [
"MobileViTV2Model"
],
"sha": "2f46357659db2d6d54d870e28073deeea1c8cb64"
},
"MvpForCausalLM": {
"tokenizer_classes": [
"MvpTokenizer",
@@ -4452,6 +4495,16 @@
],
"sha": "83ec4d2d61ed62525ee033e13d144817beb29d19"
},
"Pix2StructForConditionalGeneration": {
"tokenizer_classes": [
"T5TokenizerFast"
],
"processor_classes": [
"Pix2StructImageProcessor"
],
"model_classes": [],
"sha": "42b3de00ad535076c4893e4ac5ae2d2748cc4ccb"
},
"PoolFormerForImageClassification": {
"tokenizer_classes": [],
"processor_classes": [
@@ -5123,7 +5176,8 @@
"SamImageProcessor"
],
"model_classes": [
"SamModel"
"SamModel",
"TFSamModel"
],
"sha": "eca8651bc84e5ac3b1b62e784b744a6bd1b82575"
},