metadata

license: apache-2.0
datasets:
  - glue
language:
  - en
metrics:
  - f1
  - accuracy
tags:
  - dummy
  - language
  - paraphrasing

Dummy Model based on BERT (uncased)

This is a fine-tuned version of bert-base-uncased for detecting whether two sentences are paraphrases. Following the HuggingFace course.

Model description

Pretty much the same as the original BERT: https://huggingface.co/bert-base-uncased With a new head, fine-tuned for paraphrasing.

Intended uses & limitations

Intended use: None. This is just a test :) Limitations: Idk

How to use

from transformers import pipeline

pipe = pipeline("text-classification", model="stefanbschneider/bert-base-uncased-dummy")
sentence1 = 'Amrozi accused his brother , whom he called " the witness " , of deliberately distorting his evidence .'
sentence2 = 'Referring to him as only " the witness " , Amrozi accused his brother of deliberately distorting his evidence .'
pipe([sentence1, sentence2])