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Update README.md

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@@ -41,8 +41,8 @@ The model was fine-tuned using the masked language modeling (MLM) task on the Kn
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  from transformers import AutoModelForMaskedLM, AutoTokenizer
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  import torch
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- tokenizer = AutoTokenizer.from_pretrained("your-username/Knesset-DictaBERT")
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- model = AutoModelForMaskedLM.from_pretrained("your-username/Knesset-DictaBERT")
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  model.eval()
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  from transformers import AutoModelForMaskedLM, AutoTokenizer
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  import torch
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+ tokenizer = AutoTokenizer.from_pretrained("GiliGold/Knesset-DictaBERT")
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+ model = AutoModelForMaskedLM.from_pretrained("GiliGold/Knesset-DictaBERT")
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  model.eval()
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