# gptj-neo-1.3B_finetuned-enusec-talks-22

This model is GPT-J Neo 1.3B finetuned on the transcripts of around 30 [ENUSEC](https://enusec.org) Le Tour Du Hack (2019 and 2022) conference talks.
The dataset used to finetune this model was created using [OpenAI's Whisper](https://openai.com/blog/whisper/) and [ENUSEC's public LTDH conference recordings](https://www.youtube.com/@enusec9134/videos) up to 15th Aug 2022.

[View the wandb page here](https://wandb.ai/lewiswatson/gptj-neo-1.3B_finetuned-enusec-talks-22)

## Prompts

The dataset used for finetuning used the format: {Talk title} ->; {Talk Transcript}
For best results, prompts should also follow this format.
{"license": "bigscience-openrail-m", "pipeline_tag": "text-generation"}
transformers pytorch tensorboard gpt_neo text-generation license:bigscience-openrail-m autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #tensorboard #gpt_neo #text-generation #license-bigscience-openrail-m #autotrain_compatible #endpoints_compatible #has_space #region-us 

# gptj-neo-1.3B_finetuned-enusec-talks-22

This model is GPT-J Neo 1.3B finetuned on the transcripts of around 30 ENUSEC Le Tour Du Hack (2019 and 2022) conference talks.
The dataset used to finetune this model was created using OpenAI's Whisper and ENUSEC's public LTDH conference recordings up to 15th Aug 2022.

View the wandb page here

## Prompts

The dataset used for finetuning used the format: {Talk title} ->; {Talk Transcript}
For best results, prompts should also follow this format.
# gptj-neo-1.3B_finetuned-enusec-talks-22

This model is GPT-J Neo 1.3B finetuned on the transcripts of around 30 ENUSEC Le Tour Du Hack (2019 and 2022) conference talks.
The dataset used to finetune this model was created using OpenAI's Whisper and ENUSEC's public LTDH conference recordings up to 15th Aug 2022.

View the wandb page here ## Prompts

The dataset used for finetuning used the format: {Talk title} ->; {Talk Transcript}
For best results, prompts should also follow this format.
TAGS
#transformers #pytorch #tensorboard #gpt_neo #text-generation #license-bigscience-openrail-m #autotrain_compatible #endpoints_compatible #has_space #region-us 
 # gptj-neo-1.3B_finetuned-enusec-talks-22

This model is GPT-J Neo 1.3B finetuned on the transcripts of around 30 ENUSEC Le Tour Du Hack (2019 and 2022) conference talks.
The dataset used to finetune this model was created using OpenAI's Whisper and ENUSEC's public LTDH conference recordings up to 15th Aug 2022.

View the wandb page here ## Prompts

The dataset used for finetuning used the format: {Talk title} ->; {Talk Transcript}
For best results, prompts should also follow this format.
TAGS
#transformers #pytorch #tensorboard #gpt_neo #text-generation #license-bigscience-openrail-m #autotrain_compatible #endpoints_compatible #has_space #region-us 
# gptj-neo-1.3B_finetuned-enusec-talks-22

This model is GPT-J Neo 1.3B finetuned on the transcripts of around 30 ENUSEC Le Tour Du Hack (2019 and 2022) conference talks.
The dataset used to finetune this model was created using OpenAI's Whisper and ENUSEC's public LTDH conference recordings up to 15th Aug 2022.

View the wandb page here## Prompts

The dataset used for finetuning used the format: {Talk title} ->; {Talk Transcript}
For best results, prompts should also follow this format.