Instructions to use Ksjsjjdj/Gemini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Ksjsjjdj/Gemini with PEFT:
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- Transformers
How to use Ksjsjjdj/Gemini with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Ksjsjjdj/Gemini")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Ksjsjjdj/Gemini", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use Ksjsjjdj/Gemini with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Ksjsjjdj/Gemini" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Ksjsjjdj/Gemini", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Ksjsjjdj/Gemini
- SGLang
How to use Ksjsjjdj/Gemini 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 "Ksjsjjdj/Gemini" \ --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": "Ksjsjjdj/Gemini", "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 "Ksjsjjdj/Gemini" \ --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": "Ksjsjjdj/Gemini", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Ksjsjjdj/Gemini with Docker Model Runner:
docker model run hf.co/Ksjsjjdj/Gemini
- Xet hash:
- e6319f73bdbbead9acde6884c97de48de29d21e8c29e3cbf903fd57dc3675367
- Size of remote file:
- 189 MB
- SHA256:
- da7b5bd227742df19bc81b24bca5a4a056fffc22c6743a06858fe4ed8b0d60ab
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