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:
- 4429ae33d2fb22b60d279bff9df3bbed2d071b47cb27754e7ced47571eb164ad
- Size of remote file:
- 3.9 kB
- SHA256:
- ea45e8e685a8033f43eb1389d16906f6812f2862c5d13c09e2013489c73e6f88
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