06f1fd69a6
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2.2 KiB
2.2 KiB
Tiktoken والتفاعل مع Transformers
يتم دمج دعم ملفات نموذج tiktoken بسلاسة في 🤗 transformers عند تحميل النماذج
from_pretrained مع ملف tokenizer.model tiktoken على Hub، والذي يتم تحويله تلقائيًا إلى المحلل اللغوي السريع.
النماذج المعروفة التي تم إصدارها مع tiktoken.model:
- gpt2
- llama3
مثال على الاستخدام
من أجل تحميل ملفات tiktoken في transformers، تأكد من أن ملف tokenizer.model هو ملف tiktoken وسيتم تحميله تلقائيًا عند التحميل from_pretrained. إليك كيفية تحميل مجزىء لغوي ونموذج، والذي
يمكن تحميله من نفس الملف بالضبط:
from transformers import AutoTokenizer
model_id = "meta-llama/Meta-Llama-3-8B-Instruct"
tokenizer = AutoTokenizer.from_pretrained(model_id, subfolder="original")
إنشاء مجزىء لغوي tiktoken
لا يحتوي ملف tokenizer.model على أي معلومات حول الرموز أو الأنماط الإضافية. إذا كانت هذه الأمور مهمة، قم بتحويل المحلل اللغوي إلى tokenizer.json، وهو التنسيق المناسب لـ [PreTrainedTokenizerFast].
قم بتوليد ملف tokenizer.model باستخدام tiktoken.get_encoding ثم قم بتحويله إلى tokenizer.json باستخدام [convert_tiktoken_to_fast].
from transformers.integrations.tiktoken import convert_tiktoken_to_fast
from tiktoken import get_encoding
# يمكنك تحميل ترميزك المخصص أو الترميز الذي توفره OpenAI
encoding = get_encoding("gpt2")
convert_tiktoken_to_fast(encoding, "config/save/dir")
يتم حفظ ملف tokenizer.json الناتج في الدليل المحدد ويمكن تحميله باستخدام [PreTrainedTokenizerFast].
tokenizer = PreTrainedTokenizerFast.from_pretrained("config/save/dir")