Text Generation
PEFT
Safetensors
medical
healthcare
maternal-health
sexual-health
reproductive-health
multilingual
african-languages
akan
amharic
luganda
swahili
lora
medgemma
conversational
Instructions to use KYAGABA/testmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use KYAGABA/testmodel with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/medgemma-27b-text-it") model = PeftModel.from_pretrained(base_model, "KYAGABA/testmodel") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!