Update README.md

README.md

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 library_name: transformers
 pipeline_tag: text-classification
----
+---
+
+# Model Card for appropriateness-classifier-binary
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+This model classifies an argument as appropriate (0) or inappropriate (1). For further details on (in)appropriateness, we refer to the paper below and the corpora used for training.
+
+For a more fine-grained reasoning towards inappropriateness, we refer to our multilabel model found [here](https://huggingface.co/timonziegenbein/appropriateness-classifier-multilabel)
+
+
+## Model Details
+
+### Model Sources
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [https://github.com/timonziegenbein/appropriateness-corpus]
+- **Paper [optional]:** [Modeling Appropriate Language in Argumentation](https://aclanthology.org/2023.acl-long.238/)
+
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+```
+TBD
+```
+
+## Citation
+
+<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
+
+If you are interested in using the corpus, please cite the following paper:
+[Modeling Appropriate Language in Argumentation](https://aclanthology.org/2023.acl-long.238) (Ziegenbein et al., ACL 2023)