Text Generation
PEFT
Safetensors
English
lora
maternal-health
clinical-nlp
medgemma
clinical-decision-support
conversational
Instructions to use Japhari/cds-maternal-4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Japhari/cds-maternal-4b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/medgemma-4b-it") model = PeftModel.from_pretrained(base_model, "Japhari/cds-maternal-4b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4886822c6f7e26dc86f7482fa8396642cd51288d56480e009e2ad72b73043f6e
- Size of remote file:
- 120 MB
- SHA256:
- fc34d6660453a4b44bb0bf863b4403816e7eace78509777077656cfead5c0f91
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