getting text tokenizer
时间: 2023-09-09 22:10:13 浏览: 49
To get a text tokenizer, you can use various libraries in Python such as NLTK, spaCy, and Transformers.
Here is an example of how to get a text tokenizer using the Transformers library:
```python
from transformers import AutoTokenizer
# Load a pre-trained tokenizer
tokenizer = AutoTokenizer.from_pretrained("bert-base-uncased")
# Tokenize a text
text = "Hello, how are you?"
tokens = tokenizer.tokenize(text)
print(tokens)
```
This will output:
```
['hello', ',', 'how', 'are', 'you', '?']
```
You can also use different parameters of the tokenizer to adjust the tokenization behavior, such as adding special tokens or truncating the input text.
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keras.preprocessing.text.tokenizer
'b'keras.preprocessing.text.tokenizer''是Keras中的一个文本预处理工具,可用于将文本转换为数字序列,以供神经网络训练使用。它可以进行词汇表的构建、文本编码、截断和填充等预处理操作。
from keras.preprocessing.text import tokenizer
from keras.preprocessing.text import tokenizer 是一个从Keras库中导入的模块,用于将文本转换为数字序列。它可以将文本分词并将每个单词映射到一个唯一的整数。这个模块可以用于构建文本分类、情感分析和