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--- |
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license: apache-2.0 |
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datasets: |
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- glue |
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language: |
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- en |
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metrics: |
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- f1 |
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- accuracy |
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tags: |
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- dummy |
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- language |
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- paraphrasing |
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--- |
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# Dummy Model based on BERT (uncased) |
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This is a fine-tuned version of [`bert-base-uncased`](https://huggingface.co/bert-base-uncased) for detecting whether two sentences are paraphrases. |
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Following the [HuggingFace course](https://huggingface.co/learn/nlp-course/chapter3/3?fw=pt). |
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## Model description |
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Pretty much the same as the original BERT: https://huggingface.co/bert-base-uncased |
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With a new head, fine-tuned for paraphrasing. |
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## Intended uses & limitations |
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Intended use: None. This is just a test :) |
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Limitations: Idk |
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## How to use |
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```python |
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from transformers import pipeline |
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pipe = pipeline("text-classification", model="stefanbschneider/bert-base-uncased-dummy") |
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sentence1 = 'Amrozi accused his brother , whom he called " the witness " , of deliberately distorting his evidence .' |
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sentence2 = 'Referring to him as only " the witness " , Amrozi accused his brother of deliberately distorting his evidence .' |
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pipe([sentence1, sentence2]) |
