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
Librarian Bot: Add base_model information to model
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README.md
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library_name: peft
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pipeline_tag: text-generation
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- text: "When I worked in the kitchen"
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library_name: peft
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base_model: distilgpt2
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- text: "When I worked in the kitchen"
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