Instructions to use ZurichNLP/mlit-leo-7b-ml2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ZurichNLP/mlit-leo-7b-ml2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("LeoLM/leo-hessianai-7b") model = PeftModel.from_pretrained(base_model, "ZurichNLP/mlit-leo-7b-ml2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 589fb5b951baa4126c4d7e04a347b67f1b14ea4271a049e88da8c8093b650074
- Size of remote file:
- 640 MB
- SHA256:
- f0f0b7c8a327df1f0d1f4ed5f22a0586f15e1f03b9a4230514472be46f4f6861
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