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 frontend/postcss.config.js from mrrobot2610/IDP-Machine-learning: direct link, hf CLI and curl.
- Browser
- Download file 94 Bytes
-
https://huggingface.co/mrrobot2610/IDP-Machine-learning/resolve/main/frontend/postcss.config.js
- Command line
-
hf download hf://mrrobot2610/IDP-Machine-learning/frontend/postcss.config.js
-
curl -L -o postcss.config.js https://huggingface.co/mrrobot2610/IDP-Machine-learning/resolve/main/frontend/postcss.config.js
94 Bytes
| module.exports = { | |
| plugins: { | |
| tailwindcss: {}, | |
| autoprefixer: {}, | |
| }, | |
| } | |