Instructions to use giulioderasmo/Pix2struct-sroie-10k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use giulioderasmo/Pix2struct-sroie-10k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="giulioderasmo/Pix2struct-sroie-10k")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("giulioderasmo/Pix2struct-sroie-10k") model = AutoModelForMultimodalLM.from_pretrained("giulioderasmo/Pix2struct-sroie-10k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use giulioderasmo/Pix2struct-sroie-10k with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "giulioderasmo/Pix2struct-sroie-10k" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "giulioderasmo/Pix2struct-sroie-10k", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/giulioderasmo/Pix2struct-sroie-10k
- SGLang
How to use giulioderasmo/Pix2struct-sroie-10k 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 "giulioderasmo/Pix2struct-sroie-10k" \ --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": "giulioderasmo/Pix2struct-sroie-10k", "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 "giulioderasmo/Pix2struct-sroie-10k" \ --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": "giulioderasmo/Pix2struct-sroie-10k", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use giulioderasmo/Pix2struct-sroie-10k with Docker Model Runner:
docker model run hf.co/giulioderasmo/Pix2struct-sroie-10k
Download pytorch_model.bin from giulioderasmo/Pix2struct-sroie-10k: direct link, hf CLI and curl.
- Browser
- Download file 1.13 GB
-
https://huggingface.co/giulioderasmo/Pix2struct-sroie-10k/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://giulioderasmo/Pix2struct-sroie-10k/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/giulioderasmo/Pix2struct-sroie-10k/resolve/main/pytorch_model.bin
1.13 GB
- Xet hash:
- 42fc839fbbc4c3d4f982fce798329f0302bd51cac6a8b2f0e14742f892e7fb26
- Size of remote file:
- 1.13 GB
- SHA256:
- d41bcd115f9ede19fe52cad9f17856c4a2f322e30caeb0cfd093c4d6ab750f7b
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