Text Generation
PEFT
Safetensors
English
biomedical
summarization
lay-summary
healthcare
nlp
fine-tuned
lora
elife
plos
medical-text
text2text-generation
Instructions to use sank29mane/LayBioSum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sank29mane/LayBioSum with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/phi-2") model = PeftModel.from_pretrained(base_model, "sank29mane/LayBioSum") - Notebooks
- Google Colab
- Kaggle
Ctrl+K