udmurtNLP
/

zerpal-mbert

@@ -4,197 +4,26 @@ language:
 - udm
 ---
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 - udm
 ---
+# Zerpal-mBERT
+## How to use
+You can use this model directly with a pipeline for masked language modeling:
+```py
+from transformers import pipeline
+unmasker = pipeline('fill-mask', model='udmurtNLP/zerpal-mbert', tokenizer='udmurtNLP/zerpal-mbert-tokenizer')
+unmasker("Ӟечбур! Мынам нимы [MASK].")
+```
+Here is how to use this model to get the features of a given text in PyTorch:
+```py
+from transformers import BertTokenizer, BertModel
+tokenizer = BertTokenizer.from_pretrained('udmurtNLP/zerpal-mbert-tokenizer')
+model = BertModel.from_pretrained("udmurtNLP/zerpal-mbert")
+text = "Яратон, яратон, мар меда сыӵе тон?"
+encoded_input = tokenizer(text, return_tensors='pt')
+output = model(**encoded_input)
+```