Instructions to use jin-kwon/pakdd_tag_vanilla with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jin-kwon/pakdd_tag_vanilla with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jin-kwon/pakdd_tag_vanilla", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7298c60bb94186d7c440dbc69002847040a409aac76e50c1140f06438d9a7f5a
- Size of remote file:
- 6.14 kB
- SHA256:
- 48ae9f0891ddfae77510a19e11e8dc651aa91d4c942c72657d314512de4c34ea
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.