Instructions to use m-a-p/Kun-PrimaryChatModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use m-a-p/Kun-PrimaryChatModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="m-a-p/Kun-PrimaryChatModel", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("m-a-p/Kun-PrimaryChatModel", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from m-a-p/Kun-PrimaryChatModel: direct link, hf CLI and curl.
- Browser
- Download file 1.01 kB
-
https://huggingface.co/m-a-p/Kun-PrimaryChatModel/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://m-a-p/Kun-PrimaryChatModel/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/m-a-p/Kun-PrimaryChatModel/resolve/main/tokenizer_config.json
1.01 kB
| { | |
| "add_bos_token": false, | |
| "add_eos_token": false, | |
| "added_tokens_decoder": { | |
| "0": { | |
| "content": "<unk>", | |
| "lstrip": false, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "1": { | |
| "content": "<|startoftext|>", | |
| "lstrip": false, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "2": { | |
| "content": "<|endoftext|>", | |
| "lstrip": false, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| } | |
| }, | |
| "auto_map": { | |
| "AutoTokenizer": [ | |
| "tokenization_yi.YiTokenizer", | |
| null | |
| ] | |
| }, | |
| "bos_token": "<|startoftext|>", | |
| "clean_up_tokenization_spaces": false, | |
| "eos_token": "<|endoftext|>", | |
| "model_max_length": 4096, | |
| "pad_token": "<unk>", | |
| "padding_side": "right", | |
| "sp_model_kwargs": {}, | |
| "split_special_tokens": false, | |
| "tokenizer_class": "YiTokenizer", | |
| "unk_token": "<unk>" | |
| } | |