|
--- |
|
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) |
|
|
|
# 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)" |
|
--- |
