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

Introduction of bleurt-tiny-128

Model Details of bleurt-tiny-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-tiny-512")
model = AutoModelForSequenceClassification.from_pretrained("Elron/bleurt-tiny-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([-1.0563, -0.3004])

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

bleurt-tiny-128 huggingface.co

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bleurt-tiny-128 huggingface.co Url

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

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Elron bleurt-tiny-128 online free url in huggingface.co:

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

bleurt-tiny-128 install

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