Instructions to use OpenFormosa/PangolinTokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenFormosa/PangolinTokenizer with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("OpenFormosa/PangolinTokenizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from OpenFormosa/PangolinTokenizer: direct link, hf CLI and curl.
- Browser
- Download file 123 Bytes
-
https://huggingface.co/OpenFormosa/PangolinTokenizer/resolve/main/config.json
- Command line
-
hf download hf://OpenFormosa/PangolinTokenizer/config.json
-
curl -L -o config.json https://huggingface.co/OpenFormosa/PangolinTokenizer/resolve/main/config.json
123 Bytes
| { | |
| "model_type": "gpt2", | |
| "tokenizer_class": "GPT2TokenizerFast", | |
| "vocab_size": 114688, | |
| "model_max_length": 131072 | |
| } | |