Instructions to use Norm/ERNIE-Layout-Pytorch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Norm/ERNIE-Layout-Pytorch with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Norm/ERNIE-Layout-Pytorch", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f23cf5e73f0ab83eb642beab73fe31d18f93f9683a7163dcd3426573ca57d07d
- Size of remote file:
- 1.13 GB
- SHA256:
- 7e6b16216c36c2728858d8e49d8259361cfd44a863c0800eddaf70913ffc4351
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