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:
- 6eb7e1c24719d3ff7f77142ad2d7b81b85247036f217766b2735192f015ede76
- Size of remote file:
- 5.71 kB
- SHA256:
- 5af61d2c3ac13860321b6982b4918ca7d6a7a4e5de219006b043158de544a907
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