Instructions to use Prience91/Unigram_tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Prience91/Unigram_tokenizer with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Prience91/Unigram_tokenizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from Prience91/Unigram_tokenizer: direct link, hf CLI and curl.
- Browser
- Download file 320 Bytes
-
https://huggingface.co/Prience91/Unigram_tokenizer/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://Prience91/Unigram_tokenizer/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/Prience91/Unigram_tokenizer/resolve/main/tokenizer_config.json
320 Bytes
| { | |
| "backend": "tokenizers", | |
| "bos_token": "<s>", | |
| "cls_token": "<cls>", | |
| "eos_token": "</s>", | |
| "mask_token": "<mask>", | |
| "model_max_length": 1000000000000000019884624838656, | |
| "pad_token": "<pad>", | |
| "padding_side": "left", | |
| "sep_token": "<sep>", | |
| "tokenizer_class": "TokenizersBackend", | |
| "unk_token": "<unk>" | |
| } | |