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Update README.md

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@@ -1,7 +1,7 @@
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  ---
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  pipeline_tag: fill-mask
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  widget:
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- - text: "đậu xanh rau <mask>"
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  ---
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  # <a name="introduction"></a> ViSoBERT: A Pre-Trained Language Model for Vietnamese Social Media Text Processing (EMNLP 2023 - Main)
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  **Disclaimer**: The paper contains actual comments on social networks that might be construed as abusive, offensive, or obscene.
@@ -40,7 +40,7 @@ import torch
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  model= AutoModel.from_pretrained('uitnlp/visobert')
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  tokenizer = AutoTokenizer.from_pretrained('uitnlp/visobert')
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- encoding = tokenizer('đậu xanh rau ', return_tensors='pt')
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  with torch.no_grad():
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  output = model(**encoding)
 
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  ---
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  pipeline_tag: fill-mask
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  widget:
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+ - text: "hào quang rực <mask>"
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  ---
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  # <a name="introduction"></a> ViSoBERT: A Pre-Trained Language Model for Vietnamese Social Media Text Processing (EMNLP 2023 - Main)
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  **Disclaimer**: The paper contains actual comments on social networks that might be construed as abusive, offensive, or obscene.
 
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  model= AutoModel.from_pretrained('uitnlp/visobert')
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  tokenizer = AutoTokenizer.from_pretrained('uitnlp/visobert')
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+ encoding = tokenizer('hào quang rực rỡ', return_tensors='pt')
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  with torch.no_grad():
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  output = model(**encoding)