Text Generation
Transformers
Safetensors
English
biology
single-cell
cell-type-annotation
large-language-model
reasoning
zero-shot
few-shot
text2text-generation
Instructions to use guangshuo/CellReasoner-32B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use guangshuo/CellReasoner-32B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="guangshuo/CellReasoner-32B")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("guangshuo/CellReasoner-32B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use guangshuo/CellReasoner-32B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "guangshuo/CellReasoner-32B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "guangshuo/CellReasoner-32B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/guangshuo/CellReasoner-32B
- SGLang
How to use guangshuo/CellReasoner-32B 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 "guangshuo/CellReasoner-32B" \ --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": "guangshuo/CellReasoner-32B", "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 "guangshuo/CellReasoner-32B" \ --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": "guangshuo/CellReasoner-32B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use guangshuo/CellReasoner-32B with Docker Model Runner:
docker model run hf.co/guangshuo/CellReasoner-32B
Commit History
-
update
df2237f
-
update
ad1f28c -
update
8462068 -
update
8d7b92c -
init commit
caad9b7 -
init commit
d022620 -
init commit
df794fe
-
Update model and config files
8bde711 -
Remove tokenizer.json from Git history
1c58cb5 -
add tokenizer.json with Git LFS tracking
679043c -
Remove tokenizer.json from Git history
428269c -
upload model
2dca23f -
upload
bb9d531 -
initial commit
Unverified signatured7c5445