Instructions to use waddledee/three-line-summarization-ja with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use waddledee/three-line-summarization-ja with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("elyza/ELYZA-japanese-Llama-2-7b-instruct") model = PeftModel.from_pretrained(base_model, "waddledee/three-line-summarization-ja") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 10e84fb39473f3031c19b9e21cea8bad4d2a93a73b2215ce063ba328eeca6c76
- Size of remote file:
- 659 MB
- SHA256:
- 9bc089a238f748e777d40dfa8ddb96312916e41613616ca1838f5600c1ffbc19
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