Text Classification
Transformers
PyTorch
Safetensors
Vietnamese
roberta
transfomer
sbert
legaltext
vietnamese
Instructions to use hmthanh/VietnamLegalText-SBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hmthanh/VietnamLegalText-SBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hmthanh/VietnamLegalText-SBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hmthanh/VietnamLegalText-SBERT") model = AutoModelForSequenceClassification.from_pretrained("hmthanh/VietnamLegalText-SBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
update model
Browse files- pytorch_model.bin +3 -0
- training_args.bin +3 -0
pytorch_model.bin
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training_args.bin
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