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.json from Prience91/WPE_tokenizer: direct link, hf CLI and curl.
- Browser
- Download file 571 kB
-
https://huggingface.co/Prience91/WPE_tokenizer/resolve/main/tokenizer.json
- Command line
-
hf download hf://Prience91/WPE_tokenizer/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Prience91/WPE_tokenizer/resolve/main/tokenizer.json
571 kB
File too large to display, you can check the raw version instead.