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tokenizer_loading
ai-agents-tokenizer-loading-autotokenizer-from-pretrained-with-a-model-that-ha-ab0cd39e
IFAutoTokenizer.from_pretrained() with a model that has a custom tokenizer.json file may produce a tokenizer that, when saved via save_pretrained(), yields a different tokenizer.json with altered normalizer and pre_tokenizer settings.
THENUpgrade to the latest version of transformers (main branch) to obtain the fix. If upgrading is not possible, manually verify and reapply the original tokenizer configuration after loading.
Tier 170%
tokenizer_loading
ai-agents-tokenizer-loading-using-autotokenizer-from-pretrained-on-a-model-who-70edb026
IFUsing AutoTokenizer.from_pretrained on a model whose tokenizer.json includes a 'Sequence' normalizer and a multi-step pre_tokenizer (e.g., with ByteLevel) may cause the loaded tokenizer's normalizer to become null and the pre_tokenizer to be replaced with a simple Metaspace, ignoring the original configuration.
THENUpgrade to the latest transformers main branch (or the upcoming release containing the fix) to ensure AutoTokenizer respects the repository's tokenizer.json exactly. If stuck on a released version, manually verify and patch the tokenizer after loading by reapplying the original normalizer and pre_tokenizer from the source tokenizer.json.
Tier 170%
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