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Update README.md

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@@ -37,7 +37,7 @@ print(tokenizer.decode(generated_ids[0], skip_special_tokens=True))
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  For **infill** sampling, we introduce three new special token types:
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  * `<mask_N>`: N-th span to be masked. In practice, use `<mask_1>` to where you want to sample infill.
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- * `<sep>`: Seperator token between the suffix and the infilled sample. See below.
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  * `<eom>`: "End-Of-Mask" token that model will output at the end of infilling. You may use this token to truncate the output.
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  For example, if we want to generate infill for the following cursor position of a function:
 
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  For **infill** sampling, we introduce three new special token types:
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  * `<mask_N>`: N-th span to be masked. In practice, use `<mask_1>` to where you want to sample infill.
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+ * `<sep>`: Separator token between the suffix and the infilled sample. See below.
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  * `<eom>`: "End-Of-Mask" token that model will output at the end of infilling. You may use this token to truncate the output.
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  For example, if we want to generate infill for the following cursor position of a function: