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Update README.md
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README.md
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@@ -50,6 +50,7 @@ You can use the model directly with a pipeline for masked language modeling:
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Or you can load the model and tokenizer and do what you need to do:
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```python
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>>> tokenizer = AutoTokenizer.from_pretrained("DmitryPogrebnoy/MedRuRobertaLarge")
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>>> model = AutoModelForMaskedLM.from_pretrained("DmitryPogrebnoy/MedRuRobertaLarge")
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```
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Or you can load the model and tokenizer and do what you need to do:
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```python
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>>> from transformers import AutoTokenizer, AutoModelForMaskedLM
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>>> tokenizer = AutoTokenizer.from_pretrained("DmitryPogrebnoy/MedRuRobertaLarge")
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>>> model = AutoModelForMaskedLM.from_pretrained("DmitryPogrebnoy/MedRuRobertaLarge")
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```
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