Instructions to use dd101bb/gemma-2b-cds with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dd101bb/gemma-2b-cds with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="dd101bb/gemma-2b-cds")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("dd101bb/gemma-2b-cds", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use dd101bb/gemma-2b-cds with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "dd101bb/gemma-2b-cds" # 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-cds", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/dd101bb/gemma-2b-cds
- SGLang
How to use dd101bb/gemma-2b-cds 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-cds" \ --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-cds", "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-cds" \ --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-cds", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use dd101bb/gemma-2b-cds with Docker Model Runner:
docker model run hf.co/dd101bb/gemma-2b-cds
Add text-ranking pipeline tag
#1
by nielsr HF Staff - opened
This PR adds the text-ranking pipeline tag to the model card, ensuring the model is correctly categorized and discoverable on the Hugging Face Hub. This improves the searchability and discoverability of the model.
dd101bb changed pull request status to merged