---
license: apache-2.0
tags:
- setfit
- sentence-transformers
- text-classification
pipeline_tag: text-classification
---

# /content/model

This model is used for binary classification of racially/culturally exclusive or exclusive sentences in French and English languages.  
It is a fine-tuned model of [morit/french_xlm_xnli](https://huggingface.co/morit/french_xlm_xnli)  
on [this dataset](https://github.com/BeToast/Racially-Exclusive-Speech-Detection/tree/main/final/data_ready)  
with [SetFit model](https://github.com/huggingface/setfit)  
  
This model generalizes exclusivity well which is shown by the ability to detect exclusivity even to fictional races.  
All code for entire experiments is in my [gitrepo](https://github.com/BeToast/Racially-Exclusive-Speech-Detection)  

## Usage

##### Use example [Google Collab notebook](https://colab.research.google.com/drive/1EABmyXsjQihRS1W9If-weg-lR8i4xn_4?usp=sharing)

##### Use this model in your own code:
```bash
python -m pip install setfit
```

You can then run predictions with the model:

```python
from setfit import SetFitModel

# Download from Hub and run inference
model = SetFitModel.from_pretrained("/content/model")

# Run inclusive or exclusive binary classification.
predictions = model(["Elves are all snobs", "Elves are known for their high intelligence and wealth"])
predictions
```