|
--- |
|
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 |
