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:
- 886302616f1712880d4d93d61f5118682563d56c4a00b16d14a87bb9afae60c5
- Size of remote file:
- 3.39 kB
- SHA256:
- 4ba4bd0c647a7471b451e9dad52a8e73459935c11057c44e9381a533064724d4
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