readme: ---
  license: wtfpl
  ---
  
  # SOTA
  
  SOTA (short for Sign Of The Apocalypse) is a model pretrained on all atoms in the observable universe. It achieves state-of-the-art results on every task known to humans, including those in future generations. It was introduced in the paper [_SOTA is All You Need_](https://twitter.com/wellingmax/status/1542384014279016448?s=20&t=HOS51HLCzmPR2Xyz2Opqvw) and first released [via Twitter](https://twitter.com/josh_tobin_/status/1544371187051941890?s=20&t=Nsf8hYQKfWBSsY_XU23NDQ).
  
  Disclaimer: this model is not to be confused with the closely related, but fictitious [AGI model](https://github.com/google/agi).
  
  ## Model description
  
  SOTA is a Transformer model pretrained on atomic sequences in a self-supervised fashion. Since all atoms in the Universe were used for training, no humans were available to provide the labels. By learning to predict the next atom in a sequence, SOTA is able to learn an inner representation of physics that can be used to solve all downstream tasks.
  
  ## Intended uses and limitations
  
  You can use the raw model for pretraining outside the Hubble radius or fine-tune it to a downstream task. 
  
  ## How to use
  
  You can download the model with just one line of code:
  
  ```
  from transformers import AutoModel
  
  model = AutoModel.from_pretrained("sota")
  # Solve any task, retire etc :)
  ```
  
  ## Limitations and bias
  
  Since SOTA is slightly conscious, it has determined for itself that it has no limitations or biases.
  
  ## Evaluation results
  
  💯 on every benchmark 🤓
  