documentation: some minor clean up (#16850)
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@@ -18,9 +18,7 @@ Rust library [🤗 Tokenizers](https://github.com/huggingface/tokenizers). The "
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1. a significant speed-up in particular when doing batched tokenization and
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2. additional methods to map between the original string (character and words) and the token space (e.g. getting the
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index of the token comprising a given character or the span of characters corresponding to a given token). Currently
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no "Fast" implementation is available for the SentencePiece-based tokenizers (for T5, ALBERT, CamemBERT, XLM-RoBERTa
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and XLNet models).
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index of the token comprising a given character or the span of characters corresponding to a given token).
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The base classes [`PreTrainedTokenizer`] and [`PreTrainedTokenizerFast`]
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implement the common methods for encoding string inputs in model inputs (see below) and instantiating/saving python and
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