Instructions to use a627/Medical_Student_Assistant with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use a627/Medical_Student_Assistant with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("mistralai/Mistral-7B-Instruct-v0.3", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("a627/Medical_Student_Assistant") prompt = "generate me the cox1/2 pathway" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Medical_Student_Assistant

- Prompt
- generate me the cox1/2 pathway

- Prompt
- generate me the unrinary tract path
Download model
Download them in the Files & versions tab.
- Downloads last month
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Model tree for a627/Medical_Student_Assistant
Base model
mistralai/Mistral-7B-v0.3 Finetuned
mistralai/Mistral-7B-Instruct-v0.3