Instructions to use 5handilya/qwen2.5coder7b-svg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 5handilya/qwen2.5coder7b-svg with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="5handilya/qwen2.5coder7b-svg")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("5handilya/qwen2.5coder7b-svg", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use 5handilya/qwen2.5coder7b-svg with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "5handilya/qwen2.5coder7b-svg" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "5handilya/qwen2.5coder7b-svg", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/5handilya/qwen2.5coder7b-svg
- SGLang
How to use 5handilya/qwen2.5coder7b-svg 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 "5handilya/qwen2.5coder7b-svg" \ --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": "5handilya/qwen2.5coder7b-svg", "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 "5handilya/qwen2.5coder7b-svg" \ --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": "5handilya/qwen2.5coder7b-svg", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use 5handilya/qwen2.5coder7b-svg with Docker Model Runner:
docker model run hf.co/5handilya/qwen2.5coder7b-svg
Download model.safetensors.index.json from 5handilya/qwen2.5coder7b-svg: direct link, hf CLI and curl.
- Browser
- Download file 27.8 kB
-
https://huggingface.co/5handilya/qwen2.5coder7b-svg/resolve/main/model.safetensors.index.json
- Command line
-
hf download hf://5handilya/qwen2.5coder7b-svg/model.safetensors.index.json
-
curl -L -o model.safetensors.index.json https://huggingface.co/5handilya/qwen2.5coder7b-svg/resolve/main/model.safetensors.index.json
27.8 kB
- Xet hash:
- 902da5a027140405b08e06c38251533592a18845cd787c472cccbb3dc9d3a2ab
- Size of remote file:
- 27.8 kB
- SHA256:
- 998a078123ffc97763690de7f2a677eb89168af5eaf8a5e12e6bc24d18e25bdb
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