380b2a0317
* remove tf/flax * fix * style * Update add_new_model_like.py * work in progress * continue * more cleanup * simplify and first final version * fixes -> it works * add linter checks * Update add_new_model_like.py * fix * add modular conversion at the end * Update add_new_model_like.py * add video processor * Update add_new_model_like.py * Update add_new_model_like.py * Update add_new_model_like.py * fix * Update image_processing_auto.py * Update image_processing_auto.py * fix post rebase * start test filenames replacement * rename all test_processor -> test_processing * fix copied from * add docstrings * Update add_new_model_like.py * fix regex * improve wording * Update add_new_model_like.py * Update add_new_model_like.py * Update add_new_model_like.py * start adding test * fix * fix * proper first test * tests * fix * fix * fix * fix * modular can be used from anywhere * protect import * fix * Update add_new_model_like.py * fix
48 lines
1.7 KiB
Python
48 lines
1.7 KiB
Python
# Copyright 2024 The HuggingFace Inc. team. 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 tempfile
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import unittest
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from transformers import AltCLIPProcessor, CLIPImageProcessor, XLMRobertaTokenizer, XLMRobertaTokenizerFast
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from transformers.testing_utils import require_vision
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from ...test_processing_common import ProcessorTesterMixin
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@require_vision
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class AltClipProcessorTest(ProcessorTesterMixin, unittest.TestCase):
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processor_class = AltCLIPProcessor
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@classmethod
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def setUpClass(cls):
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cls.model_id = "BAAI/AltCLIP"
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cls.tmpdirname = tempfile.mkdtemp()
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image_processor = CLIPImageProcessor()
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tokenizer = XLMRobertaTokenizer.from_pretrained(cls.model_id)
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processor = cls.processor_class(image_processor, tokenizer)
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processor.save_pretrained(cls.tmpdirname)
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def get_tokenizer(self, **kwargs):
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return XLMRobertaTokenizer.from_pretrained(self.model_id, **kwargs)
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def get_rust_tokenizer(self, **kwargs):
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return XLMRobertaTokenizerFast.from_pretrained(self.model_id, **kwargs)
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def get_image_processor(self, **kwargs):
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return CLIPImageProcessor.from_pretrained(self.model_id, **kwargs)
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