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---
license: mit
language: en
tags:
- text-classification
- emotion
widget:
- text: "You love hurting me, huh?"
- text: "I know good movies, this ain't one"
- text: "It was fun, but I'm not going to miss you"
- text: "My flight is delayed.. amazing."
- text: "What is happening to me??"
- text: "This is the shit!"
datasets:
- enryu43/twitter100m_tweets
---
Clone of [Uberduck/torchmoji](https://huggingface.co/Uberduck/torchmoji)
The conversion of the original model to Torch was done by 🤗: [https://github.com/huggingface/torchMoji](https://github.com/huggingface/torchMoji)
Not really a Bert model. Or I just don't know how to set Interference API correctly, as it gives wrong predictions when compared to the 🤗 Space.
Paper: [https://arxiv.org/abs/1708.00524](https://arxiv.org/abs/1708.00524)
Dataset:
* Mainly millions of tweets created around and before **-2017** which included use of emojis |