bleurt-base-128 huggingface.co api & Elron bleurt-base-128 github AI Model

Introduction of bleurt-base-128

Model Details of bleurt-base-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-base-128")
model = AutoModelForSequenceClassification.from_pretrained("Elron/bleurt-base-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([0.3598, 0.0723])

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

846

Total runs

24-hour runs

-1

3-day runs

7-day runs

-14.2K

30-day runs

More Information About bleurt-base-128 huggingface.co Model

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https://huggingface.co/Elron/bleurt-base-128

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bleurt-base-128 install

bleurt-base-128 is an open source model from GitHub that offers a free installation service, and any user can find bleurt-base-128 on GitHub to install. At the same time, huggingface.co provides the effect of bleurt-base-128 install, users can directly use bleurt-base-128 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.