Instructions to use FiveC/TADA-checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FiveC/TADA-checkpoints with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("FiveC/TADA-checkpoints", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- BartTay-Delete-Original-vi-only
- BartTayFinal-Sentence-Concatenation
- BartTayFinal-combine-tay
- BartTayFinal-combine
- BartTayFinal-delete-not-original
- BartTayFinal-delete
- BartTayFinal-insert-original
- BartTayFinal-insert-swap
- BartTayFinal-sliding
- BartTayFinal-swap
- BartTayFinal-synomyms
- BartTayFinal-theme
- BartTayFinal
- MBart50-bahnar
- MBart50-tay
- ViTay-Delete-tay-only
- ViTay-RI
- ViTay-RS
- ViTay-SR
- ViTay-Sentence-Concatenation
- ViTay-SwitchOut
- ViTay-Theme-tay-only
- ViTay-combine
- ViTay-delete-not-original
- ViTay-delete-original-viet
- ViTay-delete
- ViTay-insert-original
- ViTay-insert-swap
- ViTay-sliding
- ViTay-swap
- ViTay-synonyms-tay-only
- ViTay-synonyms
- ViTay-theme
- ViTay
- bartpho-Tay
- freeze-viet-tay-combine
- freeze-viet-tay-delete-original
- freeze-viet-tay-delete
- freeze-viet-tay-synonym
- freeze-viet-tay-theme