# What is SamSum Bot?
This is a model fine-tuned on the [SamSum dataset](https://huggingface.co/datasets/samsum).
However, instead of training the system to summarize conversations, the model is trained to predict a conversation given a summary. 
The prompt needs to be in the following form
```python
A partial summary of the conversation is:
{summary}

With the dialogue being:
{dialogue}
```

where *{summary}* is a text as in
```python
John went out to buy groceries. He meets Jane on the way and they talk about the weather.
```

and the *{dialogue}* needs to be structured with speaking lines preceded by the speaking character
```python
John: Oh hi Jane.
Jane: Nice to see you?
John: The weather looks nice today
Jane: [PREDICTION]
```

The system is based on the GPTJ-6B by EleutherAI, [quantized by Hivemind](https://huggingface.co/hivemind/gpt-j-6B-8bit). It has been fine-tuned according to the [LoRa method](https://arxiv.org/abs/2106.09685). 
A simple back-end is available in [this repo](https://github.com/fractalego/samsum-bot), where the model is served using Torchserve.
A terminal-like front-end interface is available [here](https://github.com/fractalego/samsumbot_client).
This interface is the one used in my website [http://fractalego.io](http://fractalego.io).


{}
transformers pytorch gptj text-generation arxiv:2106.09685 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #gptj #text-generation #arxiv-2106.09685 #autotrain_compatible #endpoints_compatible #region-us 

# What is SamSum Bot?
This is a model fine-tuned on the SamSum dataset.
However, instead of training the system to summarize conversations, the model is trained to predict a conversation given a summary. 
The prompt needs to be in the following form


where *{summary}* is a text as in


and the *{dialogue}* needs to be structured with speaking lines preceded by the speaking character


The system is based on the GPTJ-6B by EleutherAI, quantized by Hivemind. It has been fine-tuned according to the LoRa method. 
A simple back-end is available in this repo, where the model is served using Torchserve.
A terminal-like front-end interface is available here.
This interface is the one used in my website URL.


# What is SamSum Bot?
This is a model fine-tuned on the SamSum dataset.
However, instead of training the system to summarize conversations, the model is trained to predict a conversation given a summary. 
The prompt needs to be in the following form


where *{summary}* is a text as in


and the *{dialogue}* needs to be structured with speaking lines preceded by the speaking character


The system is based on the GPTJ-6B by EleutherAI, quantized by Hivemind. It has been fine-tuned according to the LoRa method. 
A simple back-end is available in this repo, where the model is served using Torchserve.
A terminal-like front-end interface is available here.
This interface is the one used in my website URL.
TAGS
#transformers #pytorch #gptj #text-generation #arxiv-2106.09685 #autotrain_compatible #endpoints_compatible #region-us 
 # What is SamSum Bot?
This is a model fine-tuned on the SamSum dataset.
However, instead of training the system to summarize conversations, the model is trained to predict a conversation given a summary. 
The prompt needs to be in the following form


where *{summary}* is a text as in


and the *{dialogue}* needs to be structured with speaking lines preceded by the speaking character


The system is based on the GPTJ-6B by EleutherAI, quantized by Hivemind. It has been fine-tuned according to the LoRa method. 
A simple back-end is available in this repo, where the model is served using Torchserve.
A terminal-like front-end interface is available here.
This interface is the one used in my website URL.
passage: TAGS
#transformers #pytorch #gptj #text-generation #arxiv-2106.09685 #autotrain_compatible #endpoints_compatible #region-us 
# What is SamSum Bot?
This is a model fine-tuned on the SamSum dataset.
However, instead of training the system to summarize conversations, the model is trained to predict a conversation given a summary. 
The prompt needs to be in the following form


where *{summary}* is a text as in


and the *{dialogue}* needs to be structured with speaking lines preceded by the speaking character


The system is based on the GPTJ-6B by EleutherAI, quantized by Hivemind. It has been fine-tuned according to the LoRa method. 
A simple back-end is available in this repo, where the model is served using Torchserve.
A terminal-like front-end interface is available here.
This interface is the one used in my website URL.