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:
- b8142099e8833f86c18031920d3d3a1e565cde71ac7c2ca0733f1371a0994442
- Size of remote file:
- 703 MB
- SHA256:
- 714fe67a3cf013692aadf718df7e63ce9fb6ecb899b78b26677938d14bc5ade6
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