### BERTweet-large-sexism-detector
This is a fine-tuned model of BERTweet-large on the Explainable Detection of Online Sexism (EDOS) dataset. It is intended to be used as a classification model for identifying tweets (0 - not sexist; 1 - sexist). 

More information about the original pre-trained model can be found [here](https://huggingface.co/docs/transformers/model_doc/bertweet)

Classification examples:

|Prediction|Tweet|
|-----|--------|
|sexist         |Every woman wants to be a model. It's codeword for "I get everything for free and people want me" |
|not sexist     |basically I placed more value on her than I should then?|
# More Details 
For more details  about the datasets and eval results, see (we will updated the page with our paper link)
# How to use
```python
from transformers import AutoModelForSequenceClassification, AutoTokenizer,pipeline
import torch
model = AutoModelForSequenceClassification.from_pretrained('sana-ngu/BERTweet-large-sexism-detector')
tokenizer = AutoTokenizer.from_pretrained('vinai/bertweet-large') 
classifier = pipeline("text-classification", model=model, tokenizer=tokenizer)
prediction=classifier("Every woman wants to be a model. It's codeword for 'I get everything for free and people want me' ")
label_pred = 'not sexist' if prediction == 0 else 'sexist' 

print(label_pred)
```
{"language": ["en"], "metrics": ["f1", "accuracy"], "pipeline_tag": "text-classification"}
transformers pytorch roberta text-classification en autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #roberta #text-classification #en #autotrain_compatible #endpoints_compatible #region-us 

### BERTweet-large-sexism-detector


This is a fine-tuned model of BERTweet-large on the Explainable Detection of Online Sexism (EDOS) dataset. It is intended to be used as a classification model for identifying tweets (0 - not sexist; 1 - sexist).


More information about the original pre-trained model can be found here


Classification examples:



More Details
============


For more details about the datasets and eval results, see (we will updated the page with our paper link)


How to use
==========



### BERTweet-large-sexism-detector


This is a fine-tuned model of BERTweet-large on the Explainable Detection of Online Sexism (EDOS) dataset. It is intended to be used as a classification model for identifying tweets (0 - not sexist; 1 - sexist).


More information about the original pre-trained model can be found here


Classification examples:



More Details
============


For more details about the datasets and eval results, see (we will updated the page with our paper link)


How to use
==========
TAGS
#transformers #pytorch #roberta #text-classification #en #autotrain_compatible #endpoints_compatible #region-us 
 ### BERTweet-large-sexism-detector


This is a fine-tuned model of BERTweet-large on the Explainable Detection of Online Sexism (EDOS) dataset. It is intended to be used as a classification model for identifying tweets (0 - not sexist; 1 - sexist).


More information about the original pre-trained model can be found here


Classification examples:



More Details
============


For more details about the datasets and eval results, see (we will updated the page with our paper link)


How to use
==========
TAGS
#transformers #pytorch #roberta #text-classification #en #autotrain_compatible #endpoints_compatible #region-us 
### BERTweet-large-sexism-detector


This is a fine-tuned model of BERTweet-large on the Explainable Detection of Online Sexism (EDOS) dataset. It is intended to be used as a classification model for identifying tweets (0 - not sexist; 1 - sexist).


More information about the original pre-trained model can be found here


Classification examples:



More Details
============


For more details about the datasets and eval results, see (we will updated the page with our paper link)


How to use
==========