Document Question Answering
Transformers
PyTorch
English
document-processing
ocr
ner
text-classification
information-extraction
invoice
receipt
form
Instructions to use mrrobot2610/IDP-Machine-learning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrrobot2610/IDP-Machine-learning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("document-question-answering", model="mrrobot2610/IDP-Machine-learning")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mrrobot2610/IDP-Machine-learning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download start_server.sh from mrrobot2610/IDP-Machine-learning: direct link, hf CLI and curl.
- Browser
- Download file 656 Bytes
-
https://huggingface.co/mrrobot2610/IDP-Machine-learning/resolve/main/start_server.sh
- Command line
-
hf download hf://mrrobot2610/IDP-Machine-learning/start_server.sh
-
curl -L -o start_server.sh https://huggingface.co/mrrobot2610/IDP-Machine-learning/resolve/main/start_server.sh
656 Bytes
| # Startup script for IDP API Server | |
| # Activates venv and sets environment variables | |
| # Activate virtual environment | |
| source venv/bin/activate | |
| # Set environment variables to suppress mutex warnings | |
| export KMP_DUPLICATE_LIB_OK=TRUE | |
| export OMP_NUM_THREADS=1 | |
| export OPENBLAS_NUM_THREADS=1 | |
| export MKL_NUM_THREADS=1 | |
| export VECLIB_MAXIMUM_THREADS=1 | |
| export NUMEXPR_NUM_THREADS=1 | |
| export TF_CPP_MIN_LOG_LEVEL=2 | |
| echo "🚀 Starting IDP API Server..." | |
| echo "Environment: Virtual Environment (venv)" | |
| echo "Port: 7860" | |
| echo "" | |
| # Run the API server and filter out mutex warnings | |
| python api_server.py 2>&1 | grep -v "mutex.cc" | grep -v "RAW: Lock blocking" | |