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:
- 23db2e055d80cccf03598ded35b611c37cce36e1bc0bf93b87209e2a480a073d
- Size of remote file:
- 33.4 MB
- SHA256:
- daab2354f8a74e70d70b4d1f804939b68a8c9624dd06cb7858e52dd8970e9726
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