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:
- b839e1fa0c93d2b7fd19eb029ad244cc5df2a6934a0f61f9eb9c47b98d81a544
- Size of remote file:
- 522 Bytes
- SHA256:
- e0e12b35c716076c2a8a0b7bf6e5a70557cc83f0a8cb1c081a03e2a50f49620f
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