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:
- eb695d34fac106a952808e1151d965ab5abd1844cdc90d95e14f09fa3dea586f
- Size of remote file:
- 627 Bytes
- SHA256:
- fba364169291a1a29d5bc53d3618396a00979b65773b4ab88cfd96dc937a73cf
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