README.md

---
license: bigscience-openrail-m
language:
- en
metrics:
- accuracy
library_name: transformers
pipeline_tag: text-classification
tags:
- BERT
- DistilBERT
- text-classfication
---
# Elon Musk Detector (EMD)

<!-- Provide a quick summary of what the model is/does. -->

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

<!-- Provide a longer summary of what this model is. -->



- **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]