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])
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