# Model Card for Top2ADC_v0

Based on GPT-J, this model attemps to model a conversation by rejecting second highest scoring utterances and then selecting the highest scoring utterances.

Reddit comment chains are used to model this, with the first instance being the second highest scoring reply to the current comment, 
which we will reject and go to the highest comment.

We sample the reply chain in this manner until we do not have any more replies to the current comment.

The input to the model will look something like this:
```
ExampleUser
Example Title
Example Comment <BACKGROUND_INDEX_TOKEN> Other_User
Edit: Second <REJECTED_UTTERANCE> First_User
First! <SELECTED_UTTERANCE> Other_User
😭 <SELECTED_UTTERANCE>
```
{}
transformers pytorch gptj text-generation autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #gptj #text-generation #autotrain_compatible #endpoints_compatible #region-us 

# Model Card for Top2ADC_v0

Based on GPT-J, this model attemps to model a conversation by rejecting second highest scoring utterances and then selecting the highest scoring utterances.

Reddit comment chains are used to model this, with the first instance being the second highest scoring reply to the current comment, 
which we will reject and go to the highest comment.

We sample the reply chain in this manner until we do not have any more replies to the current comment.

The input to the model will look something like this:

# Model Card for Top2ADC_v0

Based on GPT-J, this model attemps to model a conversation by rejecting second highest scoring utterances and then selecting the highest scoring utterances.

Reddit comment chains are used to model this, with the first instance being the second highest scoring reply to the current comment, 
which we will reject and go to the highest comment.

We sample the reply chain in this manner until we do not have any more replies to the current comment.

The input to the model will look something like this:
TAGS
#transformers #pytorch #gptj #text-generation #autotrain_compatible #endpoints_compatible #region-us 
 # Model Card for Top2ADC_v0

Based on GPT-J, this model attemps to model a conversation by rejecting second highest scoring utterances and then selecting the highest scoring utterances.

Reddit comment chains are used to model this, with the first instance being the second highest scoring reply to the current comment, 
which we will reject and go to the highest comment.

We sample the reply chain in this manner until we do not have any more replies to the current comment.

The input to the model will look something like this:
TAGS
#transformers #pytorch #gptj #text-generation #autotrain_compatible #endpoints_compatible #region-us 
# Model Card for Top2ADC_v0

Based on GPT-J, this model attemps to model a conversation by rejecting second highest scoring utterances and then selecting the highest scoring utterances.

Reddit comment chains are used to model this, with the first instance being the second highest scoring reply to the current comment, 
which we will reject and go to the highest comment.

We sample the reply chain in this manner until we do not have any more replies to the current comment.

The input to the model will look something like this: