Instructions to use eageringdev/87fb5d98-1acd-46c8-8dbb-ad2dd6f7fb5f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eageringdev/87fb5d98-1acd-46c8-8dbb-ad2dd6f7fb5f with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("samoline/9c3101fe-8bc7-4dad-9c9a-edfaacfe28fe") model = PeftModel.from_pretrained(base_model, "eageringdev/87fb5d98-1acd-46c8-8dbb-ad2dd6f7fb5f") - Notebooks
- Google Colab
- Kaggle
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