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/tailwind.config.js from mrrobot2610/IDP-Machine-learning: direct link, hf CLI and curl.
- Browser
- Download file 880 Bytes
-
https://huggingface.co/mrrobot2610/IDP-Machine-learning/resolve/main/frontend/tailwind.config.js
- Command line
-
hf download hf://mrrobot2610/IDP-Machine-learning/frontend/tailwind.config.js
-
curl -L -o tailwind.config.js https://huggingface.co/mrrobot2610/IDP-Machine-learning/resolve/main/frontend/tailwind.config.js
880 Bytes
| /** @type {import('tailwindcss').Config} */ | |
| module.exports = { | |
| content: [ | |
| './pages/**/*.{js,ts,jsx,tsx,mdx}', | |
| './components/**/*.{js,ts,jsx,tsx,mdx}', | |
| './app/**/*.{js,ts,jsx,tsx,mdx}', | |
| ], | |
| theme: { | |
| extend: { | |
| colors: { | |
| primary: { | |
| 50: '#eff6ff', | |
| 100: '#dbeafe', | |
| 200: '#bfdbfe', | |
| 300: '#93c5fd', | |
| 400: '#60a5fa', | |
| 500: '#3b82f6', | |
| 600: '#2563eb', | |
| 700: '#1d4ed8', | |
| 800: '#1e40af', | |
| 900: '#1e3a8a', | |
| }, | |
| }, | |
| animation: { | |
| 'pulse-slow': 'pulse 3s cubic-bezier(0.4, 0, 0.6, 1) infinite', | |
| }, | |
| }, | |
| }, | |
| plugins: [], | |
| } | |