31 lines
1.0 KiB
Python
31 lines
1.0 KiB
Python
import os
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from transformers import FeatureExtractionMixin, PreTrainedTokenizerBase
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from transformers import ProcessorMixin as HfProcessorMixin
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from typing import Union
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try:
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from transformers import BaseImageProcessor
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Processor = Union[PreTrainedTokenizerBase, BaseImageProcessor, FeatureExtractionMixin, HfProcessorMixin]
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except ImportError:
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Processor = Union[PreTrainedTokenizerBase, FeatureExtractionMixin, HfProcessorMixin]
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if 'TOKENIZERS_PARALLELISM' not in os.environ:
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os.environ['TOKENIZERS_PARALLELISM'] = 'false'
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class ProcessorMixin:
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@property
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def tokenizer(self):
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tokenizer = self.processor
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if not isinstance(tokenizer, PreTrainedTokenizerBase) and hasattr(tokenizer, 'tokenizer'):
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tokenizer = tokenizer.tokenizer
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return tokenizer
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@tokenizer.setter
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def tokenizer(self, value):
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if self.processor is self.tokenizer:
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self.processor = value
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elif self.tokenizer is not value:
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raise AttributeError('Please use `self.processor` for assignment.')
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