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 run_api_server.sh from mrrobot2610/IDP-Machine-learning: direct link, hf CLI and curl.
- Browser
- Download file 464 Bytes
-
https://huggingface.co/mrrobot2610/IDP-Machine-learning/resolve/main/run_api_server.sh
- Command line
-
hf download hf://mrrobot2610/IDP-Machine-learning/run_api_server.sh
-
curl -L -o run_api_server.sh https://huggingface.co/mrrobot2610/IDP-Machine-learning/resolve/main/run_api_server.sh
464 Bytes
| # Wrapper script to run API server with environment variables set | |
| # This prevents TensorFlow/PaddlePaddle 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 | |
| # Redirect stderr to filter out mutex warnings | |
| python api_server.py 2>&1 | grep -v "mutex.cc" | grep -v "RAW: Lock blocking" | |