Add model card

README.md

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+---
+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`](https://huggingface.co/bert-base-uncased) for detecting whether two sentences are paraphrases.
+Following the [HuggingFace course](https://huggingface.co/learn/nlp-course/chapter3/3?fw=pt).
+
+## 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
+
+```python
+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])