| # Model Details | |
| Finetuned using aitextgen, an easy-to-use library by Max Woolf for creative text generation. | |
| more here: https://github.com/minimaxir/aitextgen | |
| license: apache-2.0 | |
| ## Model Description | |
| <!-- Provide a longer summary of what this model is. --> | |
| finetuned using aitextgen on a dataset including philosophy books, r/showerthoughts, and original texts generated by chatGPT. | |
| Please report any offensive content, etc! | |
| - **Developed by:** Colleen Macklin | |
| - **Model type:** GPT Neo Small (125m) | |
| - **Language(s) (NLP):** en | |
| - **License:** [More Information Needed] | |
| - **Finetuned from model [optional]:** GPT Neo Small (125m) | |
| # Uses | |
| For creative projects and dialogue generation. | |
| # Bias, Risks, and Limitations | |
| This model generates unsupervised random output has the potential to offend with biased outputs. Please use responsibly. | |
| # Environmental Impact | |
| <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> | |
| Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). | |
| --- | |
| license: apache-2.0 | |
| language: | |
| - en | |
| co2_eq_emissions: | |
| emissions: .05kg Co2 eq. | |
| source: "https://mlco2.github.io/impact" | |
| training_type: "fine-tuning" | |
| geographical_location: "Brooklyn, NY, USA. To check your compute's electricity grid, you can check out https://app.electricitymap.org." | |
| hardware_used: "T4 (Google Colab)" | |
| --- | |
| - **Hardware Type:** [T4] | |
| - **Hours used:** [.5] | |
| - **Cloud Provider:** [Google Colab] | |
| - **Compute Region:** [Brooklyn, NY, USA] | |
| - **Carbon Emitted:** [.05kg Co2 eq.] | |