You need a custom version of the `tokenizers` library to use this tokenizer.

To install this custom version you can:
```bash
pip install transformers
git clone https://github.com/huggingface/tokenizers.git
cd tokenizers
git checkout bigscience_fork
cd bindings/python
pip install setuptools_rust
pip install -e .
```

and then to load it, do:
```python
from transformers import AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained("bigscience-catalogue-data-dev/byte-level-bpe-tokenizer-no-norm-250k-whitespace-and-eos-regex-alpha-v3-dedup-lines-articles")
```
{}
region:us
TAGS
#region-us 

You need a custom version of the 'tokenizers' library to use this tokenizer.

To install this custom version you can:


and then to load it, do:

TAGS
#region-us 

passage: TAGS
#region-us 
