Instructions to use chrvngr/pi-fast-tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chrvngr/pi-fast-tokenizer with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("chrvngr/pi-fast-tokenizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Upload FAST tokenizer trained on timo/norm_stack_blue_cube_on_red_cube_137
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