Instructions to use a2ran/kor_chatGLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use a2ran/kor_chatGLM with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("THUDM/chatglm-6b") model = PeftModel.from_pretrained(base_model, "a2ran/kor_chatGLM") - Notebooks
- Google Colab
- Kaggle
| { | |
| "auto_map": { | |
| "AutoTokenizer": [ | |
| "tokenization_chatglm.ChatGLMTokenizer", | |
| null | |
| ] | |
| }, | |
| "bos_token": "<sop>", | |
| "do_lower_case": false, | |
| "end_token": "</s>", | |
| "eos_token": "<eop>", | |
| "gmask_token": "[gMASK]", | |
| "mask_token": "[MASK]", | |
| "model_max_length": 2048, | |
| "num_image_tokens": 0, | |
| "pad_token": "<pad>", | |
| "padding_side": "left", | |
| "remove_space": false, | |
| "special_tokens_map_file": null, | |
| "tokenizer_class": "ChatGLMTokenizer", | |
| "unk_token": "<unk>" | |
| } | |