pytorch distilbert text-classification transformers license:mit
.gitattributes README.md README.md' config.json pytorch_model.bin special_tokens_map.json tokenizer_config.json vocab.txt
This model takes a tweet with the word "jew" in it, and determines if it's antisemitic.

Labels:

1 for antisemitic
0 otherwise

NOTE: this model was trained on data that I labeled personally, with 4k tweets (~%50 antisemitic and ~50% not antisemitic). 
