以下报错如何处理:Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.48, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`. 模型路径: /home/njit516/workspace/TWQ2025/deepseek-ai You are using the default legacy behaviour of the <class 'transformers.models.llama.tokenization_llama_fast.LlamaTokenizerFast'>. This is expected, and simply means that the `legacy` (previous) behavior will be used so nothing changes for you. If you want to use the new behaviour, set `legacy=False`. This should only be set if you understand what it means, and thoroughly read the reason why this was added as explained in https://github.com/huggingface/transformers/pull/24565 - if you loaded a llama tokenizer from a GGUF file you can ignore this message. Some kwargs in processor config are unused and will not have any effect: image_tag, num_image_tokens, add_special_token, mask_prompt, ignore_id, sft_format.
时间: 2025-03-07 12:18:56 浏览: 1745
从您提供的错误信息来看,这个警告主要是由于 `use_fast` 和 `legacy` 参数未明确设置所引起的。为了消除这些警告并确保您的模型能够按照预期工作,您可以采取以下几个步骤来进行修正。
### 解决方案
#### 1. 明确设置 `use_fast` 参数
将加载 Tokenizer 或 Processor 时显式地传入 `use_fast=True` 或 `False` ,以便确定使用快速处理器还是慢速处理器。例如:
```python
from transformers import LlamaTokenizerFast
tokenizer = LlamaTokenizerFast.from_pretrained(
"/home/njit516/workspace/TWQ2025/deepseek-ai",
use_fast=True # 确保使用快速处理器
)
```
#### 2. 设置 `legacy=False`
如果您希望启用最新的行为并且理解这样做可能导致一些细微差异的话,可以在初始化时加入 `legacy=False` 。请注意只有当您完全明白其含义及影响后再做此选择。
```python
from transformers import AutoProcessor
processor = AutoProcessor.from_pretrained(
"/home/njit516/workspace/TWQ2025/deepseek-ai",
legacy=False # 启用新的非传统模式
)
```
### 关于未使用的参数 (`image_tag`, `num_image_tokens`, ...)
对于那些在 Processor 配置中提到但不会起作用的关键字参数(如 `image_tag`、`num_image_tokens`等),可以直接忽略它们或检查是否有误传递给不合适的地方。因为这部分警告并不妨碍正常功能的实现。
---
综上所述,建议先尝试以上两个主要解决办法,并关注官方文档以及 GitHub Pull Request 中关于 [Transformers PR#24565](https://github.com/huggingface/transformers/pull/24565) 更详细的信息来获取更多背景知识和技术细节。
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