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README.md
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@@ -51,7 +51,6 @@ You can use this model directly with a pipeline for masked language modeling:
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from transformers import AutoTokenizer, AutoModelForMaskedLM
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tokenizer = AutoTokenizer.from_pretrained("eolang/SW-v1")
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model = AutoModelForMaskedLM.from_pretrained("eolang/SW-v1")
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text = "Hii ni tovuti ya idhaa ya Kiswahili ya BBC ambayo hukuletea habari na makala kutoka Afrika na kote duniani kwa lugha ya Kiswahili."
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encoded_input = tokenizer(text, return_tensors='pt')
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from transformers import AutoTokenizer, AutoModelForMaskedLM
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tokenizer = AutoTokenizer.from_pretrained("eolang/SW-v1")
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text = "Hii ni tovuti ya idhaa ya Kiswahili ya BBC ambayo hukuletea habari na makala kutoka Afrika na kote duniani kwa lugha ya Kiswahili."
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encoded_input = tokenizer(text, return_tensors='pt')
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