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: 880 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 | /** @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: [],
}
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