# GPT2 Fine Tuned on UrbanDictionary
Honestly a little horrifying, but still funny.

## Usage
Use with GPT2Tokenizer. Pad token should be set to the EOS token.
Inputs should be of the form "define <your word>: ".

## Training Data
All training data was obtained from [Urban Dictionary Words And Definitions on Kaggle](https://www.kaggle.com/therohk/urban-dictionary-words-dataset). Data was additionally filtered, normalized, and spell-checked.

## Bias
This model was trained on public internet data and will almost definitely produce offensive results. Some efforts were made to reduce this (i.e definitions with ethnic / gender-based slurs were removed), but the final model should not be trusted to produce non-offensive definitions.
{}
transformers pytorch tf gpt2 text-generation autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #tf #gpt2 #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

# GPT2 Fine Tuned on UrbanDictionary
Honestly a little horrifying, but still funny.

## Usage
Use with GPT2Tokenizer. Pad token should be set to the EOS token.
Inputs should be of the form "define <your word>: ".

## Training Data
All training data was obtained from Urban Dictionary Words And Definitions on Kaggle. Data was additionally filtered, normalized, and spell-checked.

## Bias
This model was trained on public internet data and will almost definitely produce offensive results. Some efforts were made to reduce this (i.e definitions with ethnic / gender-based slurs were removed), but the final model should not be trusted to produce non-offensive definitions.
# GPT2 Fine Tuned on UrbanDictionary
Honestly a little horrifying, but still funny. ## Usage
Use with GPT2Tokenizer. Pad token should be set to the EOS token.
Inputs should be of the form "define <your word>: ". ## Training Data
All training data was obtained from Urban Dictionary Words And Definitions on Kaggle. Data was additionally filtered, normalized, and spell-checked. ## Bias
This model was trained on public internet data and will almost definitely produce offensive results. Some efforts were made to reduce this (i.e definitions with ethnic / gender-based slurs were removed), but the final model should not be trusted to produce non-offensive definitions.
TAGS
#transformers #pytorch #tf #gpt2 #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 # GPT2 Fine Tuned on UrbanDictionary
Honestly a little horrifying, but still funny. ## Usage
Use with GPT2Tokenizer. Pad token should be set to the EOS token.
Inputs should be of the form "define <your word>: ". ## Training Data
All training data was obtained from Urban Dictionary Words And Definitions on Kaggle. Data was additionally filtered, normalized, and spell-checked. ## Bias
This model was trained on public internet data and will almost definitely produce offensive results. Some efforts were made to reduce this (i.e definitions with ethnic / gender-based slurs were removed), but the final model should not be trusted to produce non-offensive definitions.
passage: TAGS
#transformers #pytorch #tf #gpt2 #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
# GPT2 Fine Tuned on UrbanDictionary
Honestly a little horrifying, but still funny.## Usage
Use with GPT2Tokenizer. Pad token should be set to the EOS token.
Inputs should be of the form "define <your word>: ".## Training Data
All training data was obtained from Urban Dictionary Words And Definitions on Kaggle. Data was additionally filtered, normalized, and spell-checked.## Bias
This model was trained on public internet data and will almost definitely produce offensive results. Some efforts were made to reduce this (i.e definitions with ethnic / gender-based slurs were removed), but the final model should not be trusted to produce non-offensive definitions.