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README.md
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@@ -28,8 +28,8 @@ This model was obtained by fine-tuning the corresponding `ClueAI/PromptCLUE-base
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```python
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from transformers import AutoTokenizer, T5ForConditionalGeneration
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tokenizer = AutoTokenizer.from_pretrained("CodeTed/
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model = T5ForConditionalGeneration.from_pretrained("CodeTed/
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input_text = '糾正句子裡的錯字: 看完那段文張,我是反對的!'
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input_ids = tokenizer(input_text, return_tensors="pt").input_ids
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outputs = model.generate(input_ids, max_length=256)
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```python
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from transformers import AutoTokenizer, T5ForConditionalGeneration
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tokenizer = AutoTokenizer.from_pretrained("CodeTed/Chinese_Grammarly")
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model = T5ForConditionalGeneration.from_pretrained("CodeTed/Chinese_Grammarly")
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input_text = '糾正句子裡的錯字: 看完那段文張,我是反對的!'
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input_ids = tokenizer(input_text, return_tensors="pt").input_ids
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outputs = model.generate(input_ids, max_length=256)
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