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_config.json from Jyx0208/C2S-UC-Gemma-2B: direct link, hf CLI and curl.
- Browser
- Download file 1.12 kB
-
https://huggingface.co/Jyx0208/C2S-UC-Gemma-2B/resolve/0cd0df58d585abcd4cd94dcf08a0cdbbae21634f/tokenizer_config.json
- Command line
-
hf download hf://Jyx0208/C2S-UC-Gemma-2B@0cd0df58d585abcd4cd94dcf08a0cdbbae21634f/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/Jyx0208/C2S-UC-Gemma-2B/resolve/0cd0df58d585abcd4cd94dcf08a0cdbbae21634f/tokenizer_config.json
1.12 kB
| { | |
| "add_bos_token": true, | |
| "add_eos_token": false, | |
| "added_tokens_decoder": { | |
| "0": { | |
| "content": "<pad>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "1": { | |
| "content": "<eos>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "2": { | |
| "content": "<bos>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "3": { | |
| "content": "<unk>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| } | |
| }, | |
| "bos_token": "<bos>", | |
| "clean_up_tokenization_spaces": false, | |
| "eos_token": "<eos>", | |
| "extra_special_tokens": {}, | |
| "model_max_length": 1000000000000000019884624838656, | |
| "pad_token": "<pad>", | |
| "sp_model_kwargs": {}, | |
| "spaces_between_special_tokens": false, | |
| "tokenizer_class": "GemmaTokenizer", | |
| "unk_token": "<unk>", | |
| "use_default_system_prompt": false | |
| } | |