Elron / bleurt-large-128

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Total runs: 60
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Model's Last Updated: October 04 2021
text-classification

Introduction of bleurt-large-128

Model Details of bleurt-large-128

\n## BLEURT

Pytorch version of the original BLEURT models from ACL paper "BLEURT: Learning Robust Metrics for Text Generation" by Thibault Sellam, Dipanjan Das and Ankur P. Parikh of Google Research.

The code for model conversion was originated from this notebook mentioned here .

Usage Example
from transformers import AutoModelForSequenceClassification, AutoTokenizer
import torch

tokenizer = AutoTokenizer.from_pretrained("Elron/bleurt-large-128")
model = AutoModelForSequenceClassification.from_pretrained("Elron/bleurt-large-128")
model.eval()

references = ["hello world", "hello world"]
candidates = ["hi universe", "bye world"]

with torch.no_grad():
  scores = model(**tokenizer(references, candidates, return_tensors='pt'))[0].squeeze()

print(scores) # tensor([ 0.0020, -0.6647])

Runs of Elron bleurt-large-128 on huggingface.co

60
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