| | --- |
| | license: apache-2.0 |
| | --- |
| | |
| | ## Model Description |
| | 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) |
| |
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| | # Uses |
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| | For creative projects and dialogue generation. |
| |
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| | # Bias, Risks, and Limitations |
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| | This model generates unsupervised random output has the potential to offend with biased outputs. Please use responsibly. |
| |
|
| | # Environmental Impact |
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| | <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> |
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| | 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)" |
| | --- |
