BLEURT 20

🚀 BLEURT-PyTorch Model

A custom Transformer-based model for sequence classification that can be easily installed and used for predictions.

🚀 Quick Start

This model is based on a custom Transformer model. You can install it using the following command:

pip install git+https://github.com/lucadiliello/bleurt-pytorch.git

📦 Installation

The installation step is as follows:

pip install git+https://github.com/lucadiliello/bleurt-pytorch.git

💻 Usage Examples

Basic Usage

Now, you can load the model and make predictions with the following code:

import torch
from bleurt_pytorch import BleurtConfig, BleurtForSequenceClassification, BleurtTokenizer

config = BleurtConfig.from_pretrained('lucadiliello/BLEURT-20')
model = BleurtForSequenceClassification.from_pretrained('lucadiliello/BLEURT-20')
tokenizer = BleurtTokenizer.from_pretrained('lucadiliello/BLEURT-20')

references = ["a bird chirps by the window", "this is a random sentence"]
candidates = ["a bird chirps by the window", "this looks like a random sentence"]

model.eval()
with torch.no_grad():
    inputs = tokenizer(references, candidates, padding='longest', return_tensors='pt')
    res = model(**inputs).logits.flatten().tolist()
print(res)
# [0.9990496635437012, 0.7930182218551636]

Take a look at this repository for the definition of BleurtConfig, BleurtForSequenceClassification and BleurtTokenizer in PyTorch.