Instructions to use PurCL/jtrans-mfc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PurCL/jtrans-mfc with Transformers:
# Load model directly from transformers import AutoTokenizer, JTransForMultipleSequenceClassification tokenizer = AutoTokenizer.from_pretrained("PurCL/jtrans-mfc") model = JTransForMultipleSequenceClassification.from_pretrained("PurCL/jtrans-mfc") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9efc736dbf1b6ea7ab81999d4b93a62b03794abbeed823c122a5d0044a2f5b3e
- Size of remote file:
- 354 MB
- SHA256:
- 2df7037e5c2b9ce46d9cac38b4c1e7d01c1faa963984424928a442e23491ea28
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