Instructions to use ductuan024/AimeLaw with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ductuan024/AimeLaw with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ductuan024/AimeLaw")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ductuan024/AimeLaw") model = AutoModelForMaskedLM.from_pretrained("ductuan024/AimeLaw") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
BERT for Vietnamese Law
Apply for Task 1: Legal Document Retrieval on ALQAC 2021 dataset
The model achieved 0.80 on the leaderboard(1st place score is 0.88).
We use vibert4news as based model and fine-tune on our own Vietnamese law dataset.
We use word sentencepiece, use basic bert tokenization and same config with bert base with lowercase = False.
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