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README.md
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@@ -12,7 +12,12 @@ You can use tokenizer as following
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from transformers import AutoTokenizer
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tokenizer = AutoTokenizer.from_pretrained('alayaran/bodo-roberta-base')
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tokenizer('कौटि नख'राव दैनि कानेक्सन होबाय')
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# {'input_ids': [310, 294, 313, 267, 503, 11, 268, 263, 277, 298, 287, 265, 267, 321, 263, 265, 272, 310, 273, 378, 295, 266, 271, 263, 269], 'attention_mask': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]}
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from transformers import AutoTokenizer
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tokenizer = AutoTokenizer.from_pretrained('alayaran/bodo-roberta-base')
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t = tokenizer('कौटि नख'राव दैनि कानेक्सन होबाय')
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# {'input_ids': [310, 294, 313, 267, 503, 11, 268, 263, 277, 298, 287, 265, 267, 321, 263, 265, 272, 310, 273, 378, 295, 266, 271, 263, 269], 'attention_mask': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]}
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# to decode
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tokenizer.decode(t['input_ids'],skip_special_tokens=True)
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# "कौटि नख'राव दैनि कानेक्सन होबाय"
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```
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