Instructions to use eageringdev/0fa2bfa0-d793-450d-8fa4-57007f78b086 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eageringdev/0fa2bfa0-d793-450d-8fa4-57007f78b086 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("samoline/7fe0e000-0b17-4a53-b2ee-768b282e23fd") model = PeftModel.from_pretrained(base_model, "eageringdev/0fa2bfa0-d793-450d-8fa4-57007f78b086") - Notebooks
- Google Colab
- Kaggle
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