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minhtoan
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t5-translate-vietnamese-nom

Translation
Transformers
PyTorch
Vietnamese
t5
text2text-generation
text-generation-inference
Inference Endpoints
Model card Files Community
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@@ -29,8 +29,8 @@ Model trained on dataset Luc-Van- Tien’s book, Tale Of Kieu book, “History o
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  ```python
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  from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
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- tokenizer = AutoTokenizer.from_pretrained("minhtoan/t5-translation-vietnamese-nom")
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- model = AutoModelForSeq2SeqLM.from_pretrained("minhtoan/t5-translation-vietnamese-nom")
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  model.cuda()
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  src = "如梅早杏遲管"
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  tokenized_text = tokenizer.encode(src, return_tensors="pt").cuda()
@@ -43,8 +43,8 @@ output
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  ```python
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  from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
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- tokenizer = AutoTokenizer.from_pretrained("minhtoan/t5-translation-vietnamese-nom")
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- model = AutoModelForSeq2SeqLM.from_pretrained("minhtoan/t5-translation-vietnamese-nom")
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  model.cuda()
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  src = "như mai tảo hạnh trì quán"
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  tokenized_text = tokenizer.encode(src, return_tensors="pt").cuda()
 
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  ```python
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  from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
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+ tokenizer = AutoTokenizer.from_pretrained("minhtoan/t5-translate-vietnamese-nom")
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+ model = AutoModelForSeq2SeqLM.from_pretrained("minhtoan/t5-translate-vietnamese-nom")
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  model.cuda()
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  src = "如梅早杏遲管"
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  tokenized_text = tokenizer.encode(src, return_tensors="pt").cuda()
 
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  ```python
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  from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
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+ tokenizer = AutoTokenizer.from_pretrained("minhtoan/t5-translate-vietnamese-nom")
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+ model = AutoModelForSeq2SeqLM.from_pretrained("minhtoan/t5-translate-vietnamese-nom")
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  model.cuda()
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  src = "như mai tảo hạnh trì quán"
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  tokenized_text = tokenizer.encode(src, return_tensors="pt").cuda()