Instructions to use Nj-1111/Copernicus-Tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nj-1111/Copernicus-Tokenizer with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Nj-1111/Copernicus-Tokenizer", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "tokenizer_class": "PreTrainedTokenizerFast", | |
| "model_max_length": 4096, | |
| "bos_token": "<|endoftext|>", | |
| "eos_token": "<|endoftext|>", | |
| "unk_token": "<|unk|>", | |
| "pad_token": "<|pad|>", | |
| "additional_special_tokens": [ | |
| "<think>", | |
| "</think>", | |
| "<scratchpad>", | |
| "</scratchpad>", | |
| "<verify>", | |
| "</verify>", | |
| "<reflect>", | |
| "</reflect>", | |
| "<|user|>", | |
| "<|assistant|>", | |
| "<|system|>", | |
| "<|tool_call|>", | |
| "<|tool_result|>", | |
| "<|sep|>", | |
| "<|im_start|>", | |
| "<|im_end|>" | |
| ], | |
| "clean_up_tokenization_spaces": false, | |
| "add_prefix_space": false | |
| } |