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:
- a87fcbd5605736f15f048400ece19e023e3405d4894c1e7049ff99b17c1c2808
- Size of remote file:
- 3.87 GB
- SHA256:
- b2ca4c5884b1f7209aeaa68b27b8fb0f5d250f19e0db177af041371102ef97ee
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