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@@ -11,7 +11,7 @@ A greek pre-trained language model based on [RoBERTa](https://arxiv.org/abs/1907
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  The model is pre-trained on a corpus of 458,293 documents collected from greek social media (Twitter, Instagram, Facebook and YouTube). A RoBERTa tokenizer trained from scratch on the same corpus is also included.
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- The corpus has been provided by [Palo LTD](http://www.paloservices.com/)
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  ## Requirements
@@ -50,7 +50,7 @@ tokenizer = AutoTokenizer.from_pretrained("pchatz/palobert-base-greek-social-med
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  model = AutoModelForMaskedLM.from_pretrained("pchatz/palobert-base-greek-social-media")
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  ```
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- You can use this model directly with a pipeline for masked language modeling
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  ```python
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  from transformers import pipeline
 
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  The model is pre-trained on a corpus of 458,293 documents collected from greek social media (Twitter, Instagram, Facebook and YouTube). A RoBERTa tokenizer trained from scratch on the same corpus is also included.
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+ The corpus has been provided by [Palo LTD](http://www.paloservices.com/).
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  ## Requirements
 
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  model = AutoModelForMaskedLM.from_pretrained("pchatz/palobert-base-greek-social-media")
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  ```
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+ You can use this model directly with a pipeline for masked language modeling:
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  ```python
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  from transformers import pipeline