[docs] Spanish translation of tokenizer_summary.md #31154
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cc: @tadeodonegana. @gisturiz Hello guys! I always appreciate your help with the translation review, I am open to any feedback. Thank you for your help. |
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The docs for this PR live here. All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update. |
stevhliu
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May 31, 2024
tadeodonegana
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Jun 3, 2024
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Great work as always @aaronjimv, i just left one minimal comment!
docs/source/es/tokenizer_summary.md
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| Como vimos en [el tutorial de preprocessamiento](preprocessing), tokenizar un texto es dividirlo en palabras o subpalabras, que luego se convierten en indices o ids a través de una tabla de búsqueda. Convertir palabras o subpalabras en ids es sencillo, así que en esta descripción general, nos centraremos en dividir un texto en palabras o subpalabras (es decir, tokenizar un texto). Más específicamente, examinaremos los tres principales tipos de tokenizadores utilizados en 🤗 Transformers: [Byte-Pair Encoding (BPE)](#byte-pair-encoding), [WordPiece](#wordpiece) y [SentencePiece](#sentencepiece), y mostraremos ejemplos de qué tipo de tokenizador se utiliza en cada modelo. |
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I would change preprocessamiento to preprocesamiento, i believe this is a typo.
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Hi @tadeodonegana, thanks for comment it! I appreciate the help.
tadeodonegana
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Jun 3, 2024
zucchini-nlp
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Jun 11, 2024
* add tokenizer_summary to es/_toctree.yml * add tokenizer_summary to es/ * fix link to Transformes XL in en/ * translate until Subword tokenization section * fix GPT link in en/ * fix other GPT link in en/ * fix typo in en/ * translate the doc * run make fixup * Remove .md in Transformer XL link * fix some link issues in es/ * fix typo
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What does this PR do?
Add the Spanish version of
tokenizer_summary.mdtotransformers/docs/source/es.Fix some broken links in the
en/version.#28936
Fixes # (issue)
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@stevhliu