Instructions to use indonlp/cendol-mt5-base-chat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use indonlp/cendol-mt5-base-chat with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("indonlp/cendol-mt5-base-chat", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cee8b097938a489e424f2f7418245a3d5bfd8493a15f45e8fa45fc8cfd1b83b0
- Size of remote file:
- 147 Bytes
- SHA256:
- 05c404488866184388896de17869dee9fc21b2fe10f77512c7aa21f51f0a6e65
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