File size: 1,343 Bytes
0473daf 5b9dad1 0473daf 5b9dad1 b0956d4 91b40ad b0956d4 91b40ad b0956d4 91b40ad b0956d4 91b40ad b0956d4 91b40ad b0956d4 0473daf |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 |
---
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)"
--- |