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/types/idp.ts from mrrobot2610/IDP-Machine-learning: direct link, hf CLI and curl.
- Browser
- Download file 1.08 kB
-
https://huggingface.co/mrrobot2610/IDP-Machine-learning/resolve/main/frontend/types/idp.ts
- Command line
-
hf download hf://mrrobot2610/IDP-Machine-learning/frontend/types/idp.ts
-
curl -L -o idp.ts https://huggingface.co/mrrobot2610/IDP-Machine-learning/resolve/main/frontend/types/idp.ts
1.08 kB
| export interface IDPField { | |
| value: string | |
| confidence: number | |
| bbox?: [number, number, number, number] | |
| source: 'ner' | 'regex' | |
| normalized?: boolean | |
| currency?: string | |
| numeric_value?: number | |
| } | |
| export interface IDPPage { | |
| document_type: 'INVOICE' | 'RECEIPT' | 'FORM' | 'OTHER' | |
| classification_confidence: number | |
| classification_probabilities: { | |
| INVOICE: number | |
| RECEIPT: number | |
| FORM: number | |
| OTHER: number | |
| } | |
| fields: Record<string, IDPField> | |
| processing_time: { | |
| preprocessing: number | |
| ocr: number | |
| classification: number | |
| ner: number | |
| postprocessing: number | |
| total: number | |
| } | |
| raw_ocr_text: string | |
| page_number?: number | |
| } | |
| export interface IDPResponse { | |
| file_type: 'image' | 'pdf' | |
| total_pages: number | |
| processed_pages: number | |
| filename: string | |
| file_size_kb: number | |
| pages: IDPPage[] | |
| } | |
| export interface HealthResponse { | |
| status: string | |
| models_loaded: boolean | |
| version: string | |
| } | |