| datasets: | |
| - Kamisori-daijin/email-datasets-20k | |
| language: | |
| - en | |
| pipeline_tag: text-generation | |
| tags: | |
| - small | |
| - cpu | |
| - tiny | |
| - nanogpt | |
| - gpt | |
| - open | |
| - opensource | |
| # Welcome to eMail-LM | |
| This is a 44.64M parameter GPT model which generates E-Mails. | |
| ## How to use | |
| To use this model, download `model.pt` and `use.py` from this repo and run `use.py`. | |
| ## Sample | |
| Input: `Write an email to my boss about a server outage.`<br> | |
| Output: | |
| ```plaintext | |
| SUBJECT: Regarding the Server Outage - Seriously? | |
| BODY: | |
| [Name], | |
| Let's be blunt. The server went down last night, and now a bad timing – on a Friday night. Frankly, it was unacceptable. I'm not going to sugarcoat it. | |
| I'm not interested in excuses about how this happened, and I'm fixing it. I expect a full report by [Time] today. | |
| [Your Name] | |
| ``` | |
| ## Training code | |
| The full training code can be found as `train.ipynb` in this repo. Have fun :D | |
| ## Limitations | |
| As this is a very small model and it wasn't trained for a really long time, it still generates garbage - but always emails. It's definetely more for research purposes. |