Instructions to use Prience91/WPE_tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Prience91/WPE_tokenizer with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Prience91/WPE_tokenizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from Prience91/WPE_tokenizer: direct link, hf CLI and curl.
- Browser
- Download file 249 Bytes
-
https://huggingface.co/Prience91/WPE_tokenizer/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://Prience91/WPE_tokenizer/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/Prience91/WPE_tokenizer/resolve/main/tokenizer_config.json
249 Bytes
| { | |
| "backend": "tokenizers", | |
| "cls_token": "[CLS]", | |
| "mask_token": "[MASK]", | |
| "model_max_length": 1000000000000000019884624838656, | |
| "pad_token": "[PAD]", | |
| "sep_token": "[SEP]", | |
| "tokenizer_class": "TokenizersBackend", | |
| "unk_token": "[UNK]" | |
| } | |