Instructions to use harryrobert/latexOCR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use harryrobert/latexOCR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="harryrobert/latexOCR", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("harryrobert/latexOCR", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use harryrobert/latexOCR with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "harryrobert/latexOCR" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "harryrobert/latexOCR", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/harryrobert/latexOCR
- SGLang
How to use harryrobert/latexOCR 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 "harryrobert/latexOCR" \ --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": "harryrobert/latexOCR", "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 "harryrobert/latexOCR" \ --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": "harryrobert/latexOCR", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use harryrobert/latexOCR with Docker Model Runner:
docker model run hf.co/harryrobert/latexOCR
| { | |
| "model_type": "latex_decoder", | |
| "architectures": ["LaTeXDecoderForCausalLM"], | |
| "auto_map": { | |
| "AutoConfig": "configuration_latex_decoder.LaTeXDecoderConfig", | |
| "AutoModelForCausalLM": "modeling_latex_decoder.LaTeXDecoderForCausalLM" | |
| }, | |
| "vocab_size": 8192, | |
| "pad_id": 0, | |
| "bos_id": 2, | |
| "eos_id": 3, | |
| "pad_token_id": 0, | |
| "bos_token_id": 2, | |
| "eos_token_id": 3, | |
| "d_model": 512, | |
| "n_heads": 8, | |
| "n_layers": 6, | |
| "d_ff": 1408, | |
| "dropout": 0.1, | |
| "max_seq_len": 200, | |
| "rope_theta": 10000.0, | |
| "tie_weights": true | |
| } | |