Instructions to use starvector/starvector-8b-im2svg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use starvector/starvector-8b-im2svg with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="starvector/starvector-8b-im2svg", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("starvector/starvector-8b-im2svg", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use starvector/starvector-8b-im2svg with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "starvector/starvector-8b-im2svg" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "starvector/starvector-8b-im2svg", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/starvector/starvector-8b-im2svg
- SGLang
How to use starvector/starvector-8b-im2svg 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 "starvector/starvector-8b-im2svg" \ --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": "starvector/starvector-8b-im2svg", "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 "starvector/starvector-8b-im2svg" \ --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": "starvector/starvector-8b-im2svg", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use starvector/starvector-8b-im2svg with Docker Model Runner:
docker model run hf.co/starvector/starvector-8b-im2svg
Pls make a space so we can play around
#2
by PierrunoYT - opened
Pls make a space so we can play around
its giving 404
We are investigating an issue with this checkpoint
nó hoạt động đúng với các example nhưng với các hình ảnh khác thì nó không hoạt động, khi tải về ở local rất khó khăn để triển khai với các tên model, tôi hi vọng bổ sung thêm text to svg theo lời nhắc
the space for the 8b version not working
Where is the 8B space? Can you atleast make a docker image for windows?