Cannot find reference 'get_tokenizer' in '__init__.py'
时间: 2024-01-04 11:01:12 浏览: 138
As an AI language model, I'm afraid I need more context to answer your question accurately. Can you please provide more information about the specific code you are working with and the error message you are seeing?
相关问题
get_tokenizer
Sure, the `get_tokenizer()` function is a method provided by the Hugging Face's `transformers` library. It is used to retrieve the tokenizer associated with a specific pre-trained model. This tokenizer is responsible for converting raw text into a sequence of tokens that can be understood by the model.
Here's an example of how to use `get_tokenizer()`:
```python
from transformers import AutoTokenizer
model_name = "bert-base-uncased"
tokenizer = AutoTokenizer.from_pretrained(model_name)
# Retrieve the tokenizer associated with the model
tokenizer = tokenizer.get_tokenizer()
```
In this example, we first load a pre-trained model called "bert-base-uncased" using `AutoTokenizer.from_pretrained()`. Then, we use `get_tokenizer()` to retrieve the tokenizer object associated with the model.
Please note that the code example above assumes you have already installed the `transformers` library. You can install it by running `pip install transformers` in your Python environment.
from tokenizer.rwkv_tokenizer import TRIE_TOKENIZER
`from tokenizer.rwkv_tokenizer import TRIE_TOKENIZER` 是一个 Python 模块的导入语句,它从 `tokenizer` 包中导入了名为 `TRIE_TOKENIZER` 的模块。该模块应该是一个实现了基于 Trie 树的字符串匹配的分词器,可以将输入的文本按照某种规则切分成若干个词语。
如果你需要更具体的信息,可以查看代码实现以及相关文档或者联系该模块的开发者。
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