mirror of
https://github.com/huggingface/transformers.git
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0a21381ba3
* uniformize kwargs of Chameleon * fix linter nit * rm stride default * add tests for chameleon processor * fix tests * add comment on get_component * rm Chameleon's slow tokenizer * add check order images text + nit * update docs and tests * Fix LlamaTokenizer tests * fix gated repo access * fix wrong import --------- Co-authored-by: yonigozlan <yoni.gozlan@huggingface.co>
45 lines
1.6 KiB
Python
45 lines
1.6 KiB
Python
# coding=utf-8
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# 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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"""Testing suite for the PyTorch chameleon model."""
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import tempfile
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import unittest
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from transformers import ChameleonProcessor, LlamaTokenizer
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from transformers.testing_utils import get_tests_dir
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from transformers.utils import is_vision_available
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from ...test_processing_common import ProcessorTesterMixin
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if is_vision_available():
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from transformers import ChameleonImageProcessor
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SAMPLE_VOCAB = get_tests_dir("fixtures/test_sentencepiece.model")
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class ChameleonProcessorTest(ProcessorTesterMixin, unittest.TestCase):
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processor_class = ChameleonProcessor
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def setUp(self):
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self.tmpdirname = tempfile.mkdtemp()
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image_processor = ChameleonImageProcessor()
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tokenizer = LlamaTokenizer(vocab_file=SAMPLE_VOCAB)
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tokenizer.pad_token_id = 0
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tokenizer.sep_token_id = 1
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processor = self.processor_class(image_processor=image_processor, tokenizer=tokenizer)
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processor.save_pretrained(self.tmpdirname)
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