Instructions to use tlstkr/git-base-clothes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tlstkr/git-base-clothes with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="tlstkr/git-base-clothes")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("tlstkr/git-base-clothes") model = AutoModelForMultimodalLM.from_pretrained("tlstkr/git-base-clothes", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use tlstkr/git-base-clothes with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "tlstkr/git-base-clothes" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "tlstkr/git-base-clothes", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/tlstkr/git-base-clothes
- SGLang
How to use tlstkr/git-base-clothes 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 "tlstkr/git-base-clothes" \ --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": "tlstkr/git-base-clothes", "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 "tlstkr/git-base-clothes" \ --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": "tlstkr/git-base-clothes", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use tlstkr/git-base-clothes with Docker Model Runner:
docker model run hf.co/tlstkr/git-base-clothes
- Xet hash:
- 5244e83218c134b4c035edb2e11aea672b9f94bee6d665eca7eec5b1be501d42
- Size of remote file:
- 707 MB
- SHA256:
- 41504807a190179b325f2fe5917bb5b07d0e3469dd19b987564c65ad9506a868
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