Instructions to use microsoft/BioGPT-Large-PubMedQA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use microsoft/BioGPT-Large-PubMedQA with Transformers:

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

pipe = pipeline("text-generation", model="microsoft/BioGPT-Large-PubMedQA")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("microsoft/BioGPT-Large-PubMedQA")
model = AutoModelForCausalLM.from_pretrained("microsoft/BioGPT-Large-PubMedQA")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use microsoft/BioGPT-Large-PubMedQA with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/microsoft/BioGPT-Large-PubMedQA

SGLang

How to use microsoft/BioGPT-Large-PubMedQA 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 "microsoft/BioGPT-Large-PubMedQA" \
    --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": "microsoft/BioGPT-Large-PubMedQA",
		"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 "microsoft/BioGPT-Large-PubMedQA" \
        --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": "microsoft/BioGPT-Large-PubMedQA",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use microsoft/BioGPT-Large-PubMedQA with Docker Model Runner:
```
docker model run hf.co/microsoft/BioGPT-Large-PubMedQA
```

Error on installation on endpoints. Does anyone know how to solve it?

by bacis - opened Apr 5, 2024

Discussion

bacis

Apr 5, 2024

Server message:Endpoint failed to start. on, another exception occurred: Traceback (most recent call last): File "/usr/local/lib/python3.10/dist-packages/starlette/routing.py", line 732, in lifespan async with self.lifespan_context(app) as maybe_state: File "/usr/local/lib/python3.10/dist-packages/starlette/routing.py", line 608, in aenter await self.router.startup() File "/usr/local/lib/python3.10/dist-packages/starlette/routing.py", line 709, in startup await handler() File "/app/webservice_starlette.py", line 60, in some_startup_task inference_handler = get_inference_handler_either_custom_or_default_handler(HF_MODEL_DIR, task=HF_TASK) File "/app/huggingface_inference_toolkit/handler.py", line 54, in get_inference_handler_either_custom_or_default_handler return HuggingFaceHandler(model_dir=model_dir, task=task) File "/app/huggingface_inference_toolkit/handler.py", line 18, in init self.pipeline = get_pipeline( File "/app/huggingface_inference_toolkit/utils.py", line 276, in get_pipeline hf******** = pipeline( File "/usr/local/lib/python3.10/dist-packages/transformers/pipelines/init.py", line 1004, in pipeline tokenizer = AutoTokenizer.from_pretrained( File "/usr/local/lib/python3.10/dist-packages/transformers/models/auto/tokenization_auto.py", line 846, in from_pretrained return tokenizer_class_py.from_pretrained(pretrained_model_name_or_path, *inputs, **kwargs) File "/usr/local/lib/python3.10/dist-packages/transformers/tokenization_utils_base.py", line 2048, in from_pretrained return cls._from_pretrained( File "/usr/local/lib/python3.10/dist-packages/transformers/tokenization_utils_base.py", line 2287, in _from_pretrained tokenizer = cls(*init_inputs, **init_kwargs) File "/usr/local/lib/python3.10/dist-packages/transformers/models/biogpt/tokenization_biogpt.py", line 118, in init raise ImportError( ImportError: You need to install sacremoses to use BioGptTokenizer. See https://pypi.org/project/sacremoses/ for installation. Application startup failed. Exiting.

Upload images, audio, and videos by dragging in the text input, pasting, or clicking here.

Tap or paste here to upload images

· Sign up or log in to comment