Instructions to use lanstat0123/multilingual_tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lanstat0123/multilingual_tokenizer with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("lanstat0123/multilingual_tokenizer", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 440 Bytes
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library_name: transformers
tags:
- tokenizer
- sentencepiece
---
# SentencePiece-based Hugging Face tokenizer
This repository contains a Hugging Face tokenizer converted from a SentencePiece model.
## Load
```python
from transformers import AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("lanstat0123/multilingual_tokenizer")
```
## Special tokens
```python
print(tokenizer.special_tokens_map)
print(len(tokenizer))
```
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