Adding Llama FastTokenizer support. (#22264)
* Adding Llama FastTokenizer support. - Requires https://github.com/huggingface/tokenizers/pull/1183 version - Only support byte_fallback for llama, raise otherwise (safety net). - Lots of questions are special tokens How to test: ```python from transformers.convert_slow_tokenizer import convert_slow_tokenizer from transformers import AutoTokenizer from tokenizers import Tokenizer tokenizer = AutoTokenizer.from_pretrained("huggingface/llama-7b") if False: new_tokenizer = Tokenizer.from_file("tok.json") else: new_tokenizer = convert_slow_tokenizer(tokenizer) new_tokenizer.save("tok.json") strings = [ "This is a test", "生活的真谛是", "生活的真谛是[MASK]。", # XXX: This one is problematic because of special tokens # "<s> Something something", ] for string in strings: encoded = tokenizer(string)["input_ids"] encoded2 = new_tokenizer.encode(string).ids assert encoded == encoded2, f"{encoded} != {encoded2}" decoded = tokenizer.decode(encoded) decoded2 = new_tokenizer.decode(encoded2) assert decoded.strip() == decoded2, f"{repr(decoded)} != {repr(decoded2)}" ``` The converter + some test script. The test script. Tmp save. Adding Fast tokenizer + tests. Adding the tokenization tests. Correct combination. Small fix. Fixing tests. Fixing with latest update. Rebased. fix copies + normalized added tokens + copies. Adding doc. TMP. Doc + split files. Doc. Versions + try import. Fix Camembert + warnings -> Error. Fix by ArthurZucker. Not a decorator. * Fixing comments. * Adding more to docstring. * Doc rewriting.
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setup.py
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setup.py
@@ -78,7 +78,7 @@ import re
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import shutil
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from pathlib import Path
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from setuptools import setup, Command
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from setuptools import Command, setup
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# Remove stale transformers.egg-info directory to avoid https://github.com/pypa/pip/issues/5466
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@@ -251,6 +251,7 @@ class DepsTableUpdateCommand(Command):
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with open(target, "w", encoding="utf-8", newline="\n") as f:
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f.write("\n".join(content))
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extras = {}
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extras["ja"] = deps_list("fugashi", "ipadic", "unidic_lite", "unidic", "sudachipy", "sudachidict_core", "rhoknp")
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