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Fix readme

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@@ -40,9 +40,9 @@ do_sample=False,
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  ## Glossary
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- You can provide up to 10 custom translations for nouns and character names at runtime. To do so, surround the Japanese term with term tokens. Prefix the word with one of <t0>, <t1>, ..., <t9> and suffix the word with </t>. The term will be translated as the prefix term token which can then be string replaced.
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- For example, in "γƒžγ‚€γƒ³γ€γƒ«γƒƒγƒ„γŒθΏŽγˆγ«ζ₯γŸγ‚ˆ" if you wish to have "γƒžγ‚€γƒ³" translated as "Myne" you would replace "γƒžγ‚€γƒ³" with "<t0>γƒžγ‚€γƒ³</t>". The model will translate "<t0>γƒžγ‚€γƒ³</t>γ€γƒ«γƒƒγƒ„γŒθΏŽγˆγ«ζ₯γŸγ‚ˆ" as "<t0>, Lutz is here to pick you up." Then simply do a string replacement on the output, replacing "<t0>" with "Myne".
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  ## Honorifics
 
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  ## Glossary
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+ You can provide up to 10 custom translations for nouns and character names at runtime. To do so, surround the Japanese term with term tokens. Prefix the word with one of `<t0>, <t1>, ..., <t9>` and suffix the word with `</t>`. The term will be translated as the prefix term token which can then be string replaced.
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+ For example, in `γƒžγ‚€γƒ³γ€γƒ«γƒƒγƒ„γŒθΏŽγˆγ«ζ₯γŸγ‚ˆ` if you wish to have `γƒžγ‚€γƒ³` translated as `Myne` you would replace `γƒžγ‚€γƒ³` with `<t0>γƒžγ‚€γƒ³</t>`. The model will translate `<t0>γƒžγ‚€γƒ³</t>γ€γƒ«γƒƒγƒ„γŒθΏŽγˆγ«ζ₯γŸγ‚ˆ` as `<t0>, Lutz is here to pick you up.` Then simply do a string replacement on the output, replacing `<t0>` with `Myne`.
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  ## Honorifics