VietnamLegalText-SBERT

Vietnamese Legal Text BERT

Table of contents

1. Introduction
2. Using Vietnamese Legal Text BERT
   • Installation
   • Pre-trained models
   • Example usage

<a name="introduction"></a> Using Vietnamese Legal Text BERT hmthanh/VietnamLegalText-SBERT

<a name="transformers"></a> Using Vietnamese Legal Text BERT transformers

Installation <a name="install2"></a>

• Install transformers with pip:

pip install transformers<br />

• Install tokenizers with pip:

pip install tokenizers

Pre-trained models <a name="models2"></a>

Example usage <a name="usage2"></a>

import torch
from transformers import AutoModel, AutoTokenizer

phobert = AutoModel.from_pretrained("hmthanh/VietnamLegalText-SBERT")
tokenizer = AutoTokenizer.from_pretrained("hmthanh/VietnamLegalText-SBERT")

sentence = 'Vượt đèn đỏ bị phạt bao nhiêu tiền?'  

input_ids = torch.tensor([tokenizer.encode(sentence)])

with torch.no_grad():
    features = phobert(input_ids)  # Models outputs are now tuples