Instructions to use Mohammed-Altaf/Medical-ChatBot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Mohammed-Altaf/Medical-ChatBot with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="Mohammed-Altaf/Medical-ChatBot")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Mohammed-Altaf/Medical-ChatBot")
model = AutoModelForCausalLM.from_pretrained("Mohammed-Altaf/Medical-ChatBot")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use Mohammed-Altaf/Medical-ChatBot with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Mohammed-Altaf/Medical-ChatBot"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Mohammed-Altaf/Medical-ChatBot",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Mohammed-Altaf/Medical-ChatBot

SGLang

How to use Mohammed-Altaf/Medical-ChatBot 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 "Mohammed-Altaf/Medical-ChatBot" \
    --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": "Mohammed-Altaf/Medical-ChatBot",
		"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 "Mohammed-Altaf/Medical-ChatBot" \
        --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": "Mohammed-Altaf/Medical-ChatBot",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Mohammed-Altaf/Medical-ChatBot with Docker Model Runner:
```
docker model run hf.co/Mohammed-Altaf/Medical-ChatBot
```

Mohammed-Altaf commited on Nov 21, 2023

Commit

9e2d5d7

1 Parent(s): 375fcf8

Update README.md

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@@ -1,6 +1,12 @@
 ---
 tags:
 - medical
 ---
 Please note that the chatbot is designed for research purposes only and is not intended for use in real medical settings. While the chatbot has been trained to provide accurate and helpful responses, it is not a substitute for professional medical advice, diagnosis, or treatment. The information provided by the chatbot should not be used to make medical decisions, and any health concerns should be addressed by a licensed healthcare provider.

 ---
 tags:
 - medical
+license: mit
+datasets:
+- Mohammed-Altaf/medical-instruction-120k
+language:
+- en
+library_name: transformers
 ---
 Please note that the chatbot is designed for research purposes only and is not intended for use in real medical settings. While the chatbot has been trained to provide accurate and helpful responses, it is not a substitute for professional medical advice, diagnosis, or treatment. The information provided by the chatbot should not be used to make medical decisions, and any health concerns should be addressed by a licensed healthcare provider.