Instructions to use aico/TrOCR-MNIST with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aico/TrOCR-MNIST with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="aico/TrOCR-MNIST")# Load model directly from transformers import AutoTokenizer, AutoModelForImageTextToText tokenizer = AutoTokenizer.from_pretrained("aico/TrOCR-MNIST") model = AutoModelForImageTextToText.from_pretrained("aico/TrOCR-MNIST") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use aico/TrOCR-MNIST with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "aico/TrOCR-MNIST" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "aico/TrOCR-MNIST", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/aico/TrOCR-MNIST
- SGLang
How to use aico/TrOCR-MNIST 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 "aico/TrOCR-MNIST" \ --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": "aico/TrOCR-MNIST", "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 "aico/TrOCR-MNIST" \ --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": "aico/TrOCR-MNIST", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use aico/TrOCR-MNIST with Docker Model Runner:
docker model run hf.co/aico/TrOCR-MNIST
- Xet hash:
- d5056c9e3a4c4bd5f58cb58e56ef4ee43fde6fcfd67115baff0271dbc882c67e
- Size of remote file:
- 1.54 GB
- SHA256:
- a8860caaa451eb1c5530323c9698e1ed19b246911c71f2b594de2d0a868b7849
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