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T5-large-sentiment-analysis-Chinese

Text Generation

text2text-generation

text-generation-inference

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yuyijiong commited on May 4, 2023

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dab518a

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1 Parent(s): 79b9dfd

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@@ -72,9 +72,9 @@ Usage
 import torch
 from transformers import T5Tokenizer, AutoModelForSeq2SeqLM
-tokenizer = T5Tokenizer.from_pretrained("yuyijiong/Randeng-T5-large-sentiment-analysis-Chinese")
-model = AutoModelForSeq2SeqLM.from_pretrained("yuyijiong/Randeng-T5-large-sentiment-analysis-Chinese", device_map="auto")
-generation_config=GenerationConfig.from_pretrained("yuyijiong/Randeng-T5-large-sentiment-analysis-Chinese")
 text = '情感四元组(对象 | 观点 | 方面 | 极性)抽取任务(观点可以较长): [个头大、口感不错,就是个别坏了的或者有烂掉口子刻意用泥土封着,这样做不好。]'
 input_ids = tokenizer(text,return_tensors="pt", padding=True)['input_ids'].cuda(0)
 with torch.no_grad():

 import torch
 from transformers import T5Tokenizer, AutoModelForSeq2SeqLM
+tokenizer = T5Tokenizer.from_pretrained("yuyijiong/T5-large-sentiment-analysis-Chinese")
+model = AutoModelForSeq2SeqLM.from_pretrained("yuyijiong/T5-large-sentiment-analysis-Chinese", device_map="auto")
+generation_config=GenerationConfig.from_pretrained("yuyijiong/T5-large-sentiment-analysis-Chinese")
 text = '情感四元组(对象 | 观点 | 方面 | 极性)抽取任务(观点可以较长): [个头大、口感不错,就是个别坏了的或者有烂掉口子刻意用泥土封着,这样做不好。]'
 input_ids = tokenizer(text,return_tensors="pt", padding=True)['input_ids'].cuda(0)
 with torch.no_grad():