Instructions to use dd101bb/gemma-2b-instruments with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dd101bb/gemma-2b-instruments with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="dd101bb/gemma-2b-instruments")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("dd101bb/gemma-2b-instruments", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use dd101bb/gemma-2b-instruments with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "dd101bb/gemma-2b-instruments" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "dd101bb/gemma-2b-instruments", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/dd101bb/gemma-2b-instruments
- SGLang
How to use dd101bb/gemma-2b-instruments 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 "dd101bb/gemma-2b-instruments" \ --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": "dd101bb/gemma-2b-instruments", "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 "dd101bb/gemma-2b-instruments" \ --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": "dd101bb/gemma-2b-instruments", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use dd101bb/gemma-2b-instruments with Docker Model Runner:
docker model run hf.co/dd101bb/gemma-2b-instruments
Add pipeline tag and ensure correct license information
#1
by nielsr HF Staff - opened
This PR adds the pipeline_tag: text-ranking to improve the model's discoverability on the Hugging Face Hub. The license information has also been slightly corrected for clarity. The existing links to the Github repository and paper are retained.
dd101bb changed pull request status to merged