0 transformers-4. AutoTokenizer [source] ¶ AutoTokenizer is a generic tokenizer class that will be instantiated as one of the tokenizer classes of the library when created with the AutoTokenizer. 8k次，点赞62次，收藏65次。本文对使用transformers的AutoTokenizer进行介绍，他最大的特点是允许开发者通过一个统一的接口来加载任何预训练模型对应的分词器（tokenizer），而无需直接指定分词器的精确类型。这意味着，当知道模型的名称时，可以使用AutoTokenizer自动获取与该模型匹配的 Mistral-7B-Instruct uses [INST] and [/INST] tokens to indicate the start and end of user messages, while Zephyr-7B uses <|user|> and <|assistant|> tokens to indicate speaker roles. AutoTokenizer ¶ class transformers. These classes enable you to write checkpoint-agnostic code that works with any model in the Hugging Face ecosystem 18 hours ago · Fortunately, transformers’ CodeLlamaTokenizer makes this very easy, as demonstrated below: from transformers import AutoTokenizer, AutoModelForCausalLM import transformers import torch model_id = "codellama/CodeLlama-7b-hf" tokenizer = AutoTokenizer. We’re on a journey to advance and democratize artificial intelligence through open source and open science. from_pretrained() 是 Hugging Face Transformers 库中的一个方法，用于加载预训练的文本处理模型（Tokenizer），以便将文本数据转换为模型可以接受的输入格式。 这个方法接受多个参数，以下是这些参数的 详细说明： Transformers is designed to be fast and easy to use so that everyone can start learning or building with transformer models. float16, device_map="auto") model. AutoTokenizer. Feb 4, 2025 · Understanding SentenceTransformer vs.

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