| | --- |
| | 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 |
| | ``` |
| |
|
