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
File size: 1,109 Bytes
1a7ee60 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 | #!/bin/bash
# Simple script to start just the backend server with proper environment setup
# This is useful for development when you want to run backend and frontend separately
echo "========================================"
echo " Starting IDP Backend Server"
echo "========================================"
echo ""
# Set environment variables to prevent 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 "✓ Environment variables set"
echo "✓ Starting server on http://localhost:7860"
echo "✓ API docs will be available at http://localhost:7860/docs"
echo ""
echo "⚠️ Note: Initial startup may take 30-60 seconds while loading ML models..."
echo "⚠️ You will see mutex warnings - these are normal and can be ignored."
echo ""
echo "Press Ctrl+C to stop the server"
echo "========================================"
echo ""
# Start the server
python api_server.py 2>&1 | grep -v "mutex.cc" | grep -v "RAW: Lock blocking"
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