Instructions to use RaushanTurganbay/kimi2.7-processor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RaushanTurganbay/kimi2.7-processor with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("RaushanTurganbay/kimi2.7-processor", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from RaushanTurganbay/kimi2.7-processor: direct link, hf CLI and curl.
- Browser
- Download file 752 Bytes
-
https://huggingface.co/RaushanTurganbay/kimi2.7-processor/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://RaushanTurganbay/kimi2.7-processor/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/RaushanTurganbay/kimi2.7-processor/resolve/main/tokenizer_config.json
752 Bytes
| { | |
| "auto_map": { | |
| "AutoTokenizer": [ | |
| "tokenization_kimi.TikTokenTokenizer", | |
| null | |
| ] | |
| }, | |
| "backend": "tokenizers", | |
| "bos_token": "[BOS]", | |
| "clean_up_tokenization_spaces": false, | |
| "eos_token": "[EOS]", | |
| "extra_special_tokens": [ | |
| "<|im_end|>", | |
| "<|im_user|>", | |
| "<|im_assistant|>", | |
| "<|start_header_id|>", | |
| "<|end_header_id|>", | |
| "[EOT]", | |
| "<|im_system|>", | |
| "<|im_middle|>", | |
| "<|media_begin|>", | |
| "<|media_content|>", | |
| "<|media_end|>", | |
| "<|media_pad|>" | |
| ], | |
| "is_local": false, | |
| "local_files_only": false, | |
| "model_max_length": 1000000000000000019884624838656, | |
| "pad_token": "[PAD]", | |
| "processor_class": "Kimi_K25Processor", | |
| "tokenizer_class": "TokenizersBackend", | |
| "unk_token": "[UNK]" | |
| } | |