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byte-level-bpe-tokenizer-no-norm-250k-whitespace-and-eos-regex-alpha-v3-dedup-lines-articles
bigscience-catalogue-data-dev/byte-level-bpe-tokenizer-no-norm-250k-whitespace-and-eos-regex-alpha-v3-dedup-lines-articles
byte-level-bpe-tokenizer-no-norm-250k-whitespace-and-eos-regex-alpha-v3-dedup-lines-articles is a machine learning model from bigscience-catalogue-data-dev. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
You need a custom version of the tokenizers library to use this tokenizer.
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Public
Updated Mar 2, 2022
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At a glance
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Mar 2, 2022
- SHA
- 91b871b7
Model card
From the Hugging Face model README
You need a custom version of the tokenizers library to use this tokenizer.
To install this custom version you can:
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:
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")
- Created
- Mar 2, 2022
- Updated
- Mar 2, 2022