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
| 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 |