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:
- 7d7cdd2c95739d985f1dc237786a1130cb05d3fee78904a1cd199d290a529a2b
- Size of remote file:
- 841 Bytes
- SHA256:
- ec6d82709fae6a6e4b9a45d7818184a6a7bdfc860fb5b1edf795e8d58d01aea3
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