
# /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
```

{"license": "apache-2.0", "tags": ["setfit", "sentence-transformers", "text-classification"], "pipeline_tag": "text-classification"}
sentence-transformers pytorch xlm-roberta setfit text-classification license:apache-2.0 region:us
TAGS
#sentence-transformers #pytorch #xlm-roberta #setfit #text-classification #license-apache-2.0 #region-us 


# /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  
on this dataset  
with SetFit model  
  
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  

## Usage

##### Use example Google Collab notebook

##### Use this model in your own code:


You can then run predictions with the model:



# /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  
on this dataset  
with SetFit model  
  
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 ## Usage ##### Use example Google Collab notebook ##### Use this model in your own code:


You can then run predictions with the model:
TAGS
#sentence-transformers #pytorch #xlm-roberta #setfit #text-classification #license-apache-2.0 #region-us 
 # /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  
on this dataset  
with SetFit model  
  
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 ## Usage ##### Use example Google Collab notebook ##### Use this model in your own code:


You can then run predictions with the model:
TAGS
#sentence-transformers #pytorch #xlm-roberta #setfit #text-classification #license-apache-2.0 #region-us 
# /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  
on this dataset  
with SetFit model  
  
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## Usage##### Use example Google Collab notebook##### Use this model in your own code:


You can then run predictions with the model: