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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, JTransForMultipleSequenceClassification tokenizer = AutoTokenizer.from_pretrained("PurCL/jtrans-mfc") model = JTransForMultipleSequenceClassification.from_pretrained("PurCL/jtrans-mfc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from PurCL/jtrans-mfc: direct link, hf CLI and curl.
- Browser
- Download file 703 MB
-
https://huggingface.co/PurCL/jtrans-mfc/resolve/refs%2Fpr%2F1/optimizer.pt
- Command line
-
hf download hf://PurCL/jtrans-mfc@refs/pr/1/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/PurCL/jtrans-mfc/resolve/refs%2Fpr%2F1/optimizer.pt
703 MB
- Xet hash:
- b8142099e8833f86c18031920d3d3a1e565cde71ac7c2ca0733f1371a0994442
- Size of remote file:
- 703 MB
- SHA256:
- 714fe67a3cf013692aadf718df7e63ce9fb6ecb899b78b26677938d14bc5ade6
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