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/package.json from mrrobot2610/IDP-Machine-learning: direct link, hf CLI and curl.
- Browser
- Download file 801 Bytes
-
https://huggingface.co/mrrobot2610/IDP-Machine-learning/resolve/main/frontend/package.json
- Command line
-
hf download hf://mrrobot2610/IDP-Machine-learning/frontend/package.json
-
curl -L -o package.json https://huggingface.co/mrrobot2610/IDP-Machine-learning/resolve/main/frontend/package.json
801 Bytes
| { | |
| "name": "idp-frontend", | |
| "version": "1.0.0", | |
| "private": true, | |
| "scripts": { | |
| "dev": "next dev", | |
| "build": "next build", | |
| "start": "next start", | |
| "lint": "next lint" | |
| }, | |
| "dependencies": { | |
| "axios": "^1.6.2", | |
| "clsx": "^2.1.1", | |
| "framer-motion": "^12.23.24", | |
| "next": "14.0.4", | |
| "react": "^18.2.0", | |
| "react-dom": "^18.2.0", | |
| "tailwind-merge": "^3.4.0" | |
| }, | |
| "devDependencies": { | |
| "@types/node": "^20", | |
| "@types/react": "^18", | |
| "@types/react-dom": "^18", | |
| "autoprefixer": "^10.0.1", | |
| "eslint": "^8", | |
| "eslint-config-next": "14.0.4", | |
| "postcss": "^8", | |
| "tailwindcss": "^3.3.0", | |
| "typescript": "^5" | |
| } | |
| } | |