Instructions to use TomPanda/LLM-Restate-Discllaw with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use TomPanda/LLM-Restate-Discllaw with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/data/oss_bucket_0/mushuang/disc/") model = PeftModel.from_pretrained(base_model, "TomPanda/LLM-Restate-Discllaw") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0c8bb3536bf8d5a917c067d04d2ba054ee0ddf5e9ae8b1b8517f94c6c63da9ab
- Size of remote file:
- 5.44 kB
- SHA256:
- 897345f857adf0b408ae2a13712de8cd49de2150a004682f4946210aaa906c45
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