fix: ckpt paths. (#19159)
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@@ -36,9 +36,9 @@ logger = logging.get_logger(__name__)
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_CONFIG_FOR_DOC = "ViTMSNConfig"
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_CONFIG_FOR_DOC = "ViTMSNConfig"
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_CHECKPOINT_FOR_DOC = "sayakpaul/vit-msn-small"
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_CHECKPOINT_FOR_DOC = "facebook/vit-msn-small"
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VIT_MSN_PRETRAINED_MODEL_ARCHIVE_LIST = [
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VIT_MSN_PRETRAINED_MODEL_ARCHIVE_LIST = [
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"sayakpaul/vit-msn-small",
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"facebook/vit-msn-small",
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# See all ViTMSN models at https://huggingface.co/models?filter=vit_msn
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# See all ViTMSN models at https://huggingface.co/models?filter=vit_msn
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]
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]
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@@ -215,12 +215,12 @@ def prepare_img():
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class ViTMSNModelIntegrationTest(unittest.TestCase):
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class ViTMSNModelIntegrationTest(unittest.TestCase):
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@cached_property
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@cached_property
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def default_feature_extractor(self):
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def default_feature_extractor(self):
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return ViTFeatureExtractor.from_pretrained("sayakpaul/vit-msn-small") if is_vision_available() else None
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return ViTFeatureExtractor.from_pretrained("facebook/vit-msn-small") if is_vision_available() else None
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@slow
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@slow
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def test_inference_image_classification_head(self):
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def test_inference_image_classification_head(self):
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torch.manual_seed(2)
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torch.manual_seed(2)
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model = ViTMSNForImageClassification.from_pretrained("sayakpaul/vit-msn-small").to(torch_device)
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model = ViTMSNForImageClassification.from_pretrained("facebook/vit-msn-small").to(torch_device)
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feature_extractor = self.default_feature_extractor
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feature_extractor = self.default_feature_extractor
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image = prepare_img()
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image = prepare_img()
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