Instructions to use joyebright/EAMT2023-EN-DE-DAG1-WithTAG with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joyebright/EAMT2023-EN-DE-DAG1-WithTAG with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("joyebright/EAMT2023-EN-DE-DAG1-WithTAG", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a39ad0ca47c4ab15642915f1c637b8dd5bd9a743dc4bd29c74831451adda8021
- Size of remote file:
- 14.6 kB
- SHA256:
- 55f5ad4319e96d4f2ab4157aa56d3cb6a56213dda1635a68394f7c258a70e49e
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