Instructions to use bryanmildort/gpt-clinical-notes-summarizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use bryanmildort/gpt-clinical-notes-summarizer with Transformers:

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

pipe = pipeline("text-generation", model="bryanmildort/gpt-clinical-notes-summarizer")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("bryanmildort/gpt-clinical-notes-summarizer")
model = AutoModelForCausalLM.from_pretrained("bryanmildort/gpt-clinical-notes-summarizer")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use bryanmildort/gpt-clinical-notes-summarizer with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/bryanmildort/gpt-clinical-notes-summarizer

SGLang

How to use bryanmildort/gpt-clinical-notes-summarizer 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 "bryanmildort/gpt-clinical-notes-summarizer" \
    --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": "bryanmildort/gpt-clinical-notes-summarizer",
		"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 "bryanmildort/gpt-clinical-notes-summarizer" \
        --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": "bryanmildort/gpt-clinical-notes-summarizer",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use bryanmildort/gpt-clinical-notes-summarizer with Docker Model Runner:
```
docker model run hf.co/bryanmildort/gpt-clinical-notes-summarizer
```

gpt-clinical-notes-summarizer

Commit History

Update README.md

d93315d

bryanmildort commited on Mar 7, 2023

rearrange directory

c98e2e7

Bryan Mildort commited on Mar 7, 2023

Merge branch 'main' of https://huggingface.co/bryanmildort/gpt-clinical-notes-summarizer into main

e8e84d3

Bryan Mildort commited on Mar 7, 2023

Create README.md

3d3133e

bryanmildort commited on Mar 7, 2023

initial dump

fa1301a

Bryan Mildort commited on Mar 7, 2023

initial commit

8348ce6

bryanmildort commited on Mar 7, 2023

Commit History

Update README.md d93315d

rearrange directory c98e2e7

Merge branch 'main' of https://huggingface.co/bryanmildort/gpt-clinical-notes-summarizer into main e8e84d3

Create README.md 3d3133e

initial dump fa1301a

initial commit 8348ce6

Update README.md

d93315d

rearrange directory

c98e2e7

Merge branch 'main' of https://huggingface.co/bryanmildort/gpt-clinical-notes-summarizer into main

e8e84d3

Create README.md

3d3133e

initial dump

fa1301a

initial commit

8348ce6