Instructions to use tuandunghcmut/mt5-small-event-extract with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tuandunghcmut/mt5-small-event-extract with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("tuandunghcmut/mt5-small-event-extract", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f90f20ef9075f7b102171345830eebf2e25c14b043c9e3252aefe8e08312fd24
- Size of remote file:
- 16.4 MB
- SHA256:
- e0d7de2567511c7e3f58a63997800335d2e889b2e00e9f17a5417bbbb0dcf73e
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