Instructions to use jin-kwon/pakdd_tag_reconcile with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jin-kwon/pakdd_tag_reconcile with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jin-kwon/pakdd_tag_reconcile", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from jin-kwon/pakdd_tag_reconcile: direct link, hf CLI and curl.
- Browser
- Download file 6.14 kB
-
https://huggingface.co/jin-kwon/pakdd_tag_reconcile/resolve/main/training_args.bin
- Command line
-
hf download hf://jin-kwon/pakdd_tag_reconcile/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/jin-kwon/pakdd_tag_reconcile/resolve/main/training_args.bin
6.14 kB
- Xet hash:
- 9d902a6c37c685cc8de1f26f6cc9008748ab8d196a8c136f41c7e75e52eaa4a9
- Size of remote file:
- 6.14 kB
- SHA256:
- d6806013af7d24c0089578a72916e863a99ea28005cb922e4b2f5ebb9e6abebe
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