wehub-resource-sync
58 lines
2.8 KiB
Python
58 lines
2.8 KiB
Python
# Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import unittest
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from paddlenlp.transformers import AutoProcessor, CLIPProcessor
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from paddlenlp.utils.log import logger
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from tests.testing_utils import slow
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@unittest.skip("skipping due to connection error!")
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class ProcessorLoadTester(unittest.TestCase):
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@slow
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def test_clip_load(self):
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logger.info("Download model from PaddleNLP BOS")
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clip_processor = CLIPProcessor.from_pretrained("openai/clip-vit-base-patch32", from_hf_hub=False)
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clip_processor = AutoProcessor.from_pretrained("openai/clip-vit-base-patch32", from_hf_hub=False)
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logger.info("Download model from local")
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clip_processor.save_pretrained("./paddlenlp-test-model/clip-vit-base-patch32")
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clip_processor = CLIPProcessor.from_pretrained("./paddlenlp-test-model/clip-vit-base-patch32")
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clip_processor = AutoProcessor.from_pretrained("./paddlenlp-test-model/clip-vit-base-patch32")
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logger.info("Download model from PaddleNLP BOS with subfolder")
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clip_processor = CLIPProcessor.from_pretrained("./paddlenlp-test-model/", subfolder="clip-vit-base-patch32")
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clip_processor = AutoProcessor.from_pretrained("./paddlenlp-test-model/", subfolder="clip-vit-base-patch32")
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logger.info("Download model from PaddleNLP BOS with subfolder")
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clip_processor = CLIPProcessor.from_pretrained(
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"baicai/paddlenlp-test-model", subfolder="clip-vit-base-patch32", from_hf_hub=False
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)
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clip_processor = AutoProcessor.from_pretrained(
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"baicai/paddlenlp-test-model", subfolder="clip-vit-base-patch32", from_hf_hub=False
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)
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logger.info("Download model from aistudio")
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clip_processor = CLIPProcessor.from_pretrained("aistudio/clip-vit-base-patch32", from_aistudio=True)
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clip_processor = AutoProcessor.from_pretrained("aistudio/clip-vit-base-patch32", from_aistudio=True)
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logger.info("Download model from aistudio with subfolder")
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clip_processor = CLIPProcessor.from_pretrained(
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"aistudio/paddlenlp-test-model", subfolder="clip-vit-base-patch32", from_aistudio=True
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)
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clip_processor = AutoProcessor.from_pretrained(
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"aistudio/paddlenlp-test-model", subfolder="clip-vit-base-patch32", from_aistudio=True
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)
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