Instructions to use parislo/OpenWebMath-tokenizer-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use parislo/OpenWebMath-tokenizer-1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("parislo/OpenWebMath-tokenizer-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from parislo/OpenWebMath-tokenizer-1: direct link, hf CLI and curl.
- Browser
- Download file 293 Bytes
-
https://huggingface.co/parislo/OpenWebMath-tokenizer-1/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://parislo/OpenWebMath-tokenizer-1/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/parislo/OpenWebMath-tokenizer-1/resolve/main/tokenizer_config.json
293 Bytes
| { | |
| "added_tokens_decoder": {}, | |
| "clean_up_tokenization_spaces": true, | |
| "merges_file": "./openwebmath_tokenizer/merges.txt", | |
| "model_max_length": 1000000000000000019884624838656, | |
| "tokenizer_class": "PreTrainedTokenizerFast", | |
| "vocab_file": "./openwebmath_tokenizer/vocab.json" | |
| } | |