Instructions to use Xenova/Kimi-K3-tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Xenova/Kimi-K3-tokenizer with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Xenova/Kimi-K3-tokenizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 502 Bytes
3f11cbe | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | {
"additional_special_tokens": [
"<|end_of_msg|>",
"[start_header_id]",
"[end_header_id]",
"[EOT]",
"<|media_begin|>",
"<|media_content|>",
"<|media_end|>",
"<|media_pad|>",
"<osagent_mode>"
],
"backend": "tokenizers",
"bos_token": "[BOS]",
"clean_up_tokenization_spaces": false,
"eos_token": "[EOS]",
"model_max_length": 1000000000000000019884624838656,
"pad_token": "[PAD]",
"tokenizer_class": "PreTrainedTokenizerFast",
"unk_token": "[UNK]"
}
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