bleurt-base-512 huggingface.co api & Elron bleurt-base-512 github AI Model

Introduction of bleurt-base-512

Model Details of bleurt-base-512

\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-512")
model = AutoModelForSequenceClassification.from_pretrained("Elron/bleurt-base-512")
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([1.0327, 0.2055])

Runs of Elron bleurt-base-512 on huggingface.co

225

Total runs

24-hour runs

-9

3-day runs

119

7-day runs

-61

30-day runs

More Information About bleurt-base-512 huggingface.co Model

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https://huggingface.co/Elron/bleurt-base-512

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Elron bleurt-base-512 online free url in huggingface.co:

https://huggingface.co/Elron/bleurt-base-512

bleurt-base-512 install

bleurt-base-512 is an open source model from GitHub that offers a free installation service, and any user can find bleurt-base-512 on GitHub to install. At the same time, huggingface.co provides the effect of bleurt-base-512 install, users can directly use bleurt-base-512 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.