Instructions to use wanhin/MT5-Pythera-Law-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wanhin/MT5-Pythera-Law-v2 with Transformers:
# Load model directly from transformers import AutoTokenizer, MT5ForCL tokenizer = AutoTokenizer.from_pretrained("wanhin/MT5-Pythera-Law-v2") model = MT5ForCL.from_pretrained("wanhin/MT5-Pythera-Law-v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9bef7dfdff8a0d41cc6796af06457c5e8a2c60fb6d7ba1e114fb8779c9780782
- Size of remote file:
- 1.11 GB
- SHA256:
- c2c29ce823b2ba877800cde04ec787fb325ad9355e1b28c39a3498bf0fa912d6
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