Instructions to use Jayvirtuous/MedplusAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jayvirtuous/MedplusAI with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Jayvirtuous/MedplusAI")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Jayvirtuous/MedplusAI", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Jayvirtuous/MedplusAI with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Jayvirtuous/MedplusAI" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Jayvirtuous/MedplusAI", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Jayvirtuous/MedplusAI
- SGLang
How to use Jayvirtuous/MedplusAI with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "Jayvirtuous/MedplusAI" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Jayvirtuous/MedplusAI", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "Jayvirtuous/MedplusAI" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Jayvirtuous/MedplusAI", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Jayvirtuous/MedplusAI with Docker Model Runner:
docker model run hf.co/Jayvirtuous/MedplusAI
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license: other
language:
- en
metrics:
- accuracy
pipeline_tag: text-generation
tags:
- medical
- ai
- text-generation
- chatbot
datasets:
- HuggingFaceFW/fineweb-edu-llama3-annotations
- ruslanmv/ai-medical-chatbot
library_name: transformers
---
# Model Card for MedplusAI
<!-- Provide a quick summary of what the model is/does. -->
This modelcard aims to be a template for new models.
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** Jayvirtuous
- **Funded by [optional]:** Jayvirtuous
- **Model type:** Text generation
- **Language(s) (NLP):** English
- **License:** Apache 2.0
### Model Sources [optional]
<!-- Provide the basic links for the model. -->
- **Repository:** https://github.com/Jayvirtuous
## Uses
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
Symptoms diagnosis, medical advice |