Instructions to use sofa566/git-base-pokemon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sofa566/git-base-pokemon with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="sofa566/git-base-pokemon")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("sofa566/git-base-pokemon") model = AutoModelForImageTextToText.from_pretrained("sofa566/git-base-pokemon") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use sofa566/git-base-pokemon with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "sofa566/git-base-pokemon" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "sofa566/git-base-pokemon", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/sofa566/git-base-pokemon
- SGLang
How to use sofa566/git-base-pokemon 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 "sofa566/git-base-pokemon" \ --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": "sofa566/git-base-pokemon", "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 "sofa566/git-base-pokemon" \ --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": "sofa566/git-base-pokemon", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use sofa566/git-base-pokemon with Docker Model Runner:
docker model run hf.co/sofa566/git-base-pokemon
- Xet hash:
- dbeee53ab78166e1e1d4cb4a881c0e57dabc05a0c2ba5e447d3906b5da7080ee
- Size of remote file:
- 707 MB
- SHA256:
- 2136e8a545f1da0928cec74c5fce0c85845d88503ea52920e7b0ebcd3d82ed30
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.