Text Generation
Transformers
Safetensors
llama
toksuite
tokenization
gemma-2
sentencepiece
research
robustness
unigram
text-generation-inference
Instructions to use toksuite/google-gemma-2-2b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use toksuite/google-gemma-2-2b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="toksuite/google-gemma-2-2b")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("toksuite/google-gemma-2-2b", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use toksuite/google-gemma-2-2b with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "toksuite/google-gemma-2-2b" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "toksuite/google-gemma-2-2b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/toksuite/google-gemma-2-2b
- SGLang
How to use toksuite/google-gemma-2-2b 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 "toksuite/google-gemma-2-2b" \ --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": "toksuite/google-gemma-2-2b", "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 "toksuite/google-gemma-2-2b" \ --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": "toksuite/google-gemma-2-2b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use toksuite/google-gemma-2-2b with Docker Model Runner:
docker model run hf.co/toksuite/google-gemma-2-2b
Update README.md
Browse files
README.md
CHANGED
|
@@ -201,5 +201,6 @@ If you use this model, please cite:
|
|
| 201 |
@article{toksuite2025,
|
| 202 |
title={TokSuite: Measuring the Impact of Tokenizer Choice on Language Model Behavior},
|
| 203 |
author={Altıntaş, Gul Sena and Ehghaghi, Malikeh and Lester, Brian and Liu, Fengyuan and Zhao, Wanru and Ciccone, Marco and Raffel, Colin},
|
| 204 |
-
year={2025}
|
|
|
|
| 205 |
}
|
|
|
|
| 201 |
@article{toksuite2025,
|
| 202 |
title={TokSuite: Measuring the Impact of Tokenizer Choice on Language Model Behavior},
|
| 203 |
author={Altıntaş, Gul Sena and Ehghaghi, Malikeh and Lester, Brian and Liu, Fengyuan and Zhao, Wanru and Ciccone, Marco and Raffel, Colin},
|
| 204 |
+
year={2025},
|
| 205 |
+
arxiv={https://arxiv.org/abs/2512.20757},
|
| 206 |
}
|