Instructions to use nickwantsone/vyrahealth-medgemma-4b-triage-nurse-production-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nickwantsone/vyrahealth-medgemma-4b-triage-nurse-production-v1 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, "nickwantsone/vyrahealth-medgemma-4b-triage-nurse-production-v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bc90e3624872283eb3036235ec68b85970c2ccff7c8780a586776910c5bc8afe
- Size of remote file:
- 5.43 kB
- SHA256:
- b178427216bd5b3b2bf904e50aae28ed480ab84faa305ef677e0c153fec94bb9
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