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 .gitattributes from mrrobot2610/IDP-Machine-learning: direct link, hf CLI and curl.
- Browser
- Download file 120 Bytes
-
https://huggingface.co/mrrobot2610/IDP-Machine-learning/resolve/main/.gitattributes
- Command line
-
hf download hf://mrrobot2610/IDP-Machine-learning/.gitattributes
-
curl -L -o .gitattributes https://huggingface.co/mrrobot2610/IDP-Machine-learning/resolve/main/.gitattributes
120 Bytes
| # Git LFS - track large model files | |
| *.pt filter=lfs diff=lfs merge=lfs -text | |
| *.onnx filter=lfs diff=lfs merge=lfs -text | |