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42 lines
2.2 KiB
Markdown
42 lines
2.2 KiB
Markdown
# Tiktoken والتفاعل مع Transformers
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يتم دمج دعم ملفات نموذج tiktoken بسلاسة في 🤗 transformers عند تحميل النماذج
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`from_pretrained` مع ملف `tokenizer.model` tiktoken على Hub، والذي يتم تحويله تلقائيًا إلى [المحلل اللغوي السريع](https://huggingface.co/docs/transformers/main/en/main_classes/tokenizer#transformers.PreTrainedTokenizerFast).
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### النماذج المعروفة التي تم إصدارها مع `tiktoken.model`:
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- gpt2
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- llama3
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## مثال على الاستخدام
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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
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يمكن تحميله من نفس الملف بالضبط:
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```py
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from transformers import AutoTokenizer
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model_id = "meta-llama/Meta-Llama-3-8B-Instruct"
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tokenizer = AutoTokenizer.from_pretrained(model_id, subfolder="original")
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```
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## إنشاء مجزىء لغوي tiktoken
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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`].
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قم بتوليد ملف `tokenizer.model` باستخدام [tiktoken.get_encoding](https://github.com/openai/tiktoken/blob/63527649963def8c759b0f91f2eb69a40934e468/tiktoken/registry.py#L63) ثم قم بتحويله إلى `tokenizer.json` باستخدام [`convert_tiktoken_to_fast`].
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```py
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from transformers.integrations.tiktoken import convert_tiktoken_to_fast
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from tiktoken import get_encoding
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# يمكنك تحميل ترميزك المخصص أو الترميز الذي توفره OpenAI
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encoding = get_encoding("gpt2")
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convert_tiktoken_to_fast(encoding, "config/save/dir")
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```
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يتم حفظ ملف `tokenizer.json` الناتج في الدليل المحدد ويمكن تحميله باستخدام [`PreTrainedTokenizerFast`].
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```py
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tokenizer = PreTrainedTokenizerFast.from_pretrained("config/save/dir")
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```
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