mxmax
/

Chinese_Chat_T5_Base

Text2Text Generation

Text2Text-Generation

text-generation-inference

Inference Endpoints

Model card Files Files and versions Community

mxmax commited on Mar 28, 2023

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5f6002d

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1 Parent(s): 95bba7a

Update README.md

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@@ -58,7 +58,7 @@ from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
 tokenizer = AutoTokenizer.from_pretrained("mxmax/Chinese_Chat_T5_Base")
 model = AutoModelForSeq2SeqLM.from_pretrained("mxmax/Chinese_Chat_T5_Base")
 device = 'cuda' if cuda.is_available() else 'cpu'
-model_trained.to(device)
 def postprocess(text):
  return text.replace(".", "").replace('</>','')

 tokenizer = AutoTokenizer.from_pretrained("mxmax/Chinese_Chat_T5_Base")
 model = AutoModelForSeq2SeqLM.from_pretrained("mxmax/Chinese_Chat_T5_Base")
 device = 'cuda' if cuda.is_available() else 'cpu'
+model.to(device)
 def postprocess(text):
  return text.replace(".", "").replace('</>','')