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@@ -47,7 +47,7 @@ generation you should look at model like GPT2.
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  Here is how to use this model to get the features of a given text in PyTorch:
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  ```python
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  from transformers import BertTokenizer, BertModel
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- tokenizer = BertTokenizer.from_pretrained('bert-base-uncased')
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  model = BertModel.from_pretrained("multiberts-seed-0-1100k")
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  text = "Replace me by any text you'd like."
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  encoded_input = tokenizer(text, return_tensors='pt')
 
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  Here is how to use this model to get the features of a given text in PyTorch:
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  ```python
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  from transformers import BertTokenizer, BertModel
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+ tokenizer = BertTokenizer.from_pretrained('multiberts-seed-0-1100k')
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  model = BertModel.from_pretrained("multiberts-seed-0-1100k")
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  text = "Replace me by any text you'd like."
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  encoded_input = tokenizer(text, return_tensors='pt')