Instructions to use teddy0413/Accounting_glm0625 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use teddy0413/Accounting_glm0625 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("THUDM/chatglm-6b") model = PeftModel.from_pretrained(base_model, "teddy0413/Accounting_glm0625") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3317084f872b6a247e47df11ec68d39b0892a1931be9f7d04143d555f3f81eeb
- Size of remote file:
- 14.7 MB
- SHA256:
- c48bad4fe66f3ac86b4035100cae00ae1125d17b3e752d4d3c9185bbc4d0ed01
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