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keshan
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SinhalaBERTo

Fill-Mask Transformers PyTorch TensorFlow JAX Safetensors
Sinhala roberta SinhalaBERTo Sinhala Inference Endpoints
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@@ -27,8 +27,8 @@ You can use this model directly with a pipeline for masked language modeling:
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  ```py
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  from transformers import AutoTokenizer, AutoModelWithLMHead, pipeline
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- model = BertForMaskedLM.from_pretrained("keshan/SinhalaBERTo")
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- tokenizer = BertTokenizer.from_pretrained("keshan/SinhalaBERTo")
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  fill_mask = pipeline('fill-mask', model=model, tokenizer=tokenizer)
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  ```py
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  from transformers import AutoTokenizer, AutoModelWithLMHead, pipeline
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+ model = AutoModelWithLMHead.from_pretrained("keshan/SinhalaBERTo")
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+ tokenizer = AutoTokenizer.from_pretrained("keshan/SinhalaBERTo")
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  fill_mask = pipeline('fill-mask', model=model, tokenizer=tokenizer)
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