transformers

dc42e770 - Easily train a new fast tokenizer from a given one (#12361)

Easily train a new fast tokenizer from a given one (#12361) * [WIP] Easily train a new fast tokenizer from a given one * Fix test * Roll out to other tokenizers and add tests * Fix bug with unk id and add emoji to test * Really use something different in test * Implement special tokens map * Map special tokens in the Transformers tokenizers * Fix test * Make test more robust * Fix test for BPE * More robust map and test Co-authored-by SaulLu * Test file * Stronger tests Co-authored-by: SaulLu <lucilesaul.com@gmail.com> * Map unk token for Wordpiece and address review comment * Fix lowercase test and address review comment * Fix all tests * Simplify test * Fix tests for realsies * Easily train a new fast tokenizer from a given one - tackle the special tokens format (str or AddedToken) (#12420) * Propose change in tests regarding lower case * add new test for special tokens types * put back the test part about decoding * add feature: the AddedToken is re-build with the different mapped content * Address review comment: simplify AddedToken building Co-authored-by: sgugger <sylvain.gugger@gmail.com> * Update src/transformers/tokenization_utils_fast.py Co-authored-by: sgugger <sylvain.gugger@gmail.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: SaulLu <lucilesaul.com@gmail.com> Co-authored-by: SaulLu <55560583+SaulLu@users.noreply.github.com>