Instructions to use Jyx0208/C2S-UC-Gemma-2B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Jyx0208/C2S-UC-Gemma-2B with Transformers:

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

pipe = pipeline("text-generation", model="Jyx0208/C2S-UC-Gemma-2B")

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Jyx0208/C2S-UC-Gemma-2B")
model = AutoModelForCausalLM.from_pretrained("Jyx0208/C2S-UC-Gemma-2B", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Jyx0208/C2S-UC-Gemma-2B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Jyx0208/C2S-UC-Gemma-2B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Jyx0208/C2S-UC-Gemma-2B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Jyx0208/C2S-UC-Gemma-2B

SGLang

How to use Jyx0208/C2S-UC-Gemma-2B 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 "Jyx0208/C2S-UC-Gemma-2B" \
    --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": "Jyx0208/C2S-UC-Gemma-2B",
		"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 "Jyx0208/C2S-UC-Gemma-2B" \
        --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": "Jyx0208/C2S-UC-Gemma-2B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Jyx0208/C2S-UC-Gemma-2B with Docker Model Runner:
```
docker model run hf.co/Jyx0208/C2S-UC-Gemma-2B
```

Jyx0208 commited on Feb 4

Commit

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@@ -34,6 +34,8 @@ model-index:
 # C2S-UC-Gemma-2B
 A fine-tuned **Cell2Sentence** model for **Ulcerative Colitis (UC) single-cell RNA-seq cell type prediction**.
 This model understands the "language of biology" by treating gene expression lists as sentences. It achieves **89% accuracy** on distinguishing 44 distinct cell types in human colon tissue, outperforming the base model significantly on this specific task.

 # C2S-UC-Gemma-2B
+[![GitHub](https://img.shields.io/badge/GitHub-MedXLab--SWMU%2FC2S--UC--Gemma--2B-blue?logo=github)](https://github.com/MedXLab-SWMU/C2S-UC-Gemma-2B)
 A fine-tuned **Cell2Sentence** model for **Ulcerative Colitis (UC) single-cell RNA-seq cell type prediction**.
 This model understands the "language of biology" by treating gene expression lists as sentences. It achieves **89% accuracy** on distinguishing 44 distinct cell types in human colon tissue, outperforming the base model significantly on this specific task.