Instructions to use isashap/final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use isashap/final with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("distilgpt2") model = PeftModel.from_pretrained(base_model, "isashap/final") - Notebooks
- Google Colab
- Kaggle
metadata
library_name: peft
pipeline_tag: text-generation
widget:
- text: "When I worked in the kitchen"
- example_title: "example1"
- text: "When I worked in retail"
- example_title: "example2"
- text: "When I worked in the laundry room"
- example_title: "example3"
Training procedure
Framework versions
- PEFT 0.5.0