Upload T5/README.md with huggingface_hub
Browse files- T5/README.md +3 -9
T5/README.md
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@@ -4,19 +4,13 @@ Specifically, it focuses on
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https://huggingface.co/mcmonkey/google_t5-v1_1-xxl_encoderonly/
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because that is the one most used by AI generative models at the moment
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* dictionary.T5.fullword
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This file is filtered from the full list of tokens in this model
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(generated by dumptokens.py),
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and has only the tokens that are full standalone words
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(and are also plain English ascii. Sorry, fancy languages)
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* dictionary.both
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Words that are common across CLIP-L and T5. Generated by:
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sort dictionary.T5.fullword ../dictionary.fullword |uniq -c |awk '$1 =="2"{print $2}' >dict.both
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* showtokens.py
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Given a word, or string of words, shows how T5 tokenizes it
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https://huggingface.co/mcmonkey/google_t5-v1_1-xxl_encoderonly/
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because that is the one most used by AI generative models at the moment
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* dictionary.T5.fullword - This file is filtered from the full list of tokens in this model
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(generated by dumptokens.py),
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and has only the tokens that are full standalone words
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(and are also plain English ascii. Sorry, fancy languages)
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* dictionary.both - Words that are common across CLIP-L and T5. Generated by:
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sort dictionary.T5.fullword ../dictionary.fullword |uniq -c |awk '$1 =="2"{print $2}' >dict.both
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* showtokens.py - Given a word, or string of words, shows how T5 tokenizes it
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