
# 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 🤓

{"license": "wtfpl"}
license:wtfpl region:us
TAGS
#license-wtfpl #region-us 


# 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_ and first released via Twitter.

Disclaimer: this model is not to be confused with the closely related, but fictitious AGI model.

## 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:



## 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 

# 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_ and first released via Twitter.

Disclaimer: this model is not to be confused with the closely related, but fictitious AGI model. ## 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: ## 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
TAGS
#license-wtfpl #region-us 
 # 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_ and first released via Twitter.

Disclaimer: this model is not to be confused with the closely related, but fictitious AGI model. ## 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: ## 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
passage: TAGS
#license-wtfpl #region-us 
# 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_ and first released via Twitter.

Disclaimer: this model is not to be confused with the closely related, but fictitious AGI model.## 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:## 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