Instructions to use gkMSDA/PEFTAdapterWeightsTest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use gkMSDA/PEFTAdapterWeightsTest with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("THUDM/chatglm2-6b") model = PeftModel.from_pretrained(base_model, "gkMSDA/PEFTAdapterWeightsTest") - Notebooks
- Google Colab
- Kaggle
| { | |
| "auto_map": { | |
| "AutoTokenizer": [ | |
| "THUDM/chatglm2-6b--tokenization_chatglm.ChatGLMTokenizer", | |
| null | |
| ] | |
| }, | |
| "clean_up_tokenization_spaces": false, | |
| "do_lower_case": false, | |
| "model_max_length": 1000000000000000019884624838656, | |
| "padding_side": "left", | |
| "remove_space": false, | |
| "tokenizer_class": "ChatGLMTokenizer" | |
| } | |