Instructions to use zhangbo2008/best_llm_train06M55M39p2023 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use zhangbo2008/best_llm_train06M55M39p2023 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("THUDM/chatglm2-6b") model = PeftModel.from_pretrained(base_model, "zhangbo2008/best_llm_train06M55M39p2023") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c1645e9b56830338fd86279e14c400521023f46dacdcdb3aacefc192175af2c9
- Size of remote file:
- 7.82 MB
- SHA256:
- 6971a5055bd2e84b3ddfe177a5bf6cf5414a8c4bac177820d7fb07281c36d07c
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