Text Generation
Transformers
Safetensors
English
gemma2
cell2sentence
single-cell
biology
genomics
cell-type-prediction
ulcerative-colitis
scRNA-seq
Eval Results (legacy)
text-generation-inference
Instructions to use Jyx0208/C2S-UC-Gemma-2B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
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
Download tokenizer.model from Jyx0208/C2S-UC-Gemma-2B: direct link, hf CLI and curl.
- Browser
- Download file 4.95 MB
-
https://huggingface.co/Jyx0208/C2S-UC-Gemma-2B/resolve/4e5a5e1f6eaea560cb441f6fecc9fc77e796e22b/tokenizer.model
- Command line
-
hf download hf://Jyx0208/C2S-UC-Gemma-2B@4e5a5e1f6eaea560cb441f6fecc9fc77e796e22b/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/Jyx0208/C2S-UC-Gemma-2B/resolve/4e5a5e1f6eaea560cb441f6fecc9fc77e796e22b/tokenizer.model
4.95 MB
- Xet hash:
- 74e4afa262a6e638e0b095fcc61d0ecf7b080d26a38f83878d8628b531de607d
- Size of remote file:
- 4.95 MB
- SHA256:
- a343c33e9f5cd740f55625b7fc556d71599c239ada13f6308387d6ce79b3a9d6
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