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: 763 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 | 'use client'
import { motion } from 'framer-motion'
import { cn } from '@/lib/utils'
interface GradientTextProps {
children: React.ReactNode
className?: string
}
export default function GradientText({ children, className }: GradientTextProps) {
return (
<motion.span
initial={{ backgroundPosition: '0% 50%' }}
animate={{ backgroundPosition: '100% 50%' }}
transition={{ duration: 5, repeat: Infinity, repeatType: 'reverse', ease: 'linear' }}
className={cn(
"bg-clip-text text-transparent bg-gradient-to-r from-indigo-600 via-purple-600 to-cyan-600 bg-[length:200%_auto]",
className
)}
>
{children}
</motion.span>
)
}
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