Instructions to use Adesh696/git-base-flickr8k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Adesh696/git-base-flickr8k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="Adesh696/git-base-flickr8k")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("Adesh696/git-base-flickr8k") model = AutoModelForMultimodalLM.from_pretrained("Adesh696/git-base-flickr8k") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Adesh696/git-base-flickr8k with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Adesh696/git-base-flickr8k" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Adesh696/git-base-flickr8k", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Adesh696/git-base-flickr8k
- SGLang
How to use Adesh696/git-base-flickr8k 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 "Adesh696/git-base-flickr8k" \ --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": "Adesh696/git-base-flickr8k", "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 "Adesh696/git-base-flickr8k" \ --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": "Adesh696/git-base-flickr8k", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Adesh696/git-base-flickr8k with Docker Model Runner:
docker model run hf.co/Adesh696/git-base-flickr8k
- Xet hash:
- baf7f6d6cd950e538ba7b6b3d6646a9e582e7575de532fc3e1bd225f0ad61484
- Size of remote file:
- 4.16 kB
- SHA256:
- f50b15192a2ae2daca95d2225b26c90e6baed3979b55084f422d9395d8e654a0
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