kix-intl/elon-musk-detector

Elon Musk Detector (EMD)

Elon Musk Detector uses DistilBERT to classify is a tweet (or post) was made by Elon Musk or Not.

Model Details

This model uses transformers and DistilBERT to classify text, based on 2 datasets.

Model Description

• Developed by: Kokohachi
• Model type: BERT
• Language(s) (NLP): English
• License: BigScience OpenRAIL-M
• Finetuned from model: DistilBERT

Uses

This model should be used only for academic purposes, and should not be used for business purposes.

Direct Use

git clone https://huggingface.co/kix-intl/elon-musk-detector

from transformers import DistilBERTTokenizer, DistilBERTModel

Load the tokenizer

loaded_tokenizer = DistilBERTTokenizer.from_pretrained(save_directory)

Load the model

loaded_model = DistilBERTModel.from_pretrained(save_directory)

Training Details

Training Data

Elon Musk Tweets

https://www.kaggle.com/datasets/gpreda/elon-musk-tweets

Twitter Tweets Sentiment Dataset

https://www.kaggle.com/datasets/yasserh/twitter-tweets-sentiment-dataset

Training Procedure

https://huggingface.co/kix-intl/elon-musk-detector/blob/main/EMD.ipynb

Model Card Contact

[email protected]