Instructions to use aevynt/JupiMind-Dense-J1R-Tokenizer-24k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aevynt/JupiMind-Dense-J1R-Tokenizer-24k with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("aevynt/JupiMind-Dense-J1R-Tokenizer-24k", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 455 Bytes
0603bfe | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | {
"backend": "tokenizers",
"bos_token": "<bos>",
"clean_up_tokenization_spaces": false,
"eos_token": "<eos>",
"extra_special_tokens": [
"<|im_start|>",
"<|im_end|>",
"<think>",
"</think>",
"<tool_call>",
"</tool_call>",
"<tool_response>",
"</tool_response>",
"<tools>",
"</tools>"
],
"model_max_length": 4096,
"pad_token": "<pad>",
"tokenizer_class": "TokenizersBackend",
"unk_token": "<unk>"
}
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