
## 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)"
---
{"license": "apache-2.0"}
transformers pytorch gpt_neo text-generation arxiv:1910.09700 license:apache-2.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #gpt_neo #text-generation #arxiv-1910.09700 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 


## 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: 
- 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



Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
---
license: apache-2.0
language:
- en
co2_eq_emissions:
  emissions: .05kg Co2 eq.
  source: "URL
  training_type: "fine-tuning"
  geographical_location: "Brooklyn, NY, USA. To check your compute's electricity grid, you can check out URL."
  hardware_used: "T4 (Google Colab)"
---
## 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: 
- 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



Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
---
license: apache-2.0
language:
- en
co2_eq_emissions:
  emissions: .05kg Co2 eq.
  source: "URL
  training_type: "fine-tuning"
  geographical_location: "Brooklyn, NY, USA. To check your compute's electricity grid, you can check out URL."
  hardware_used: "T4 (Google Colab)"
---
TAGS
#transformers #pytorch #gpt_neo #text-generation #arxiv-1910.09700 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
 ## 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: 
- 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



Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
---
license: apache-2.0
language:
- en
co2_eq_emissions:
  emissions: .05kg Co2 eq.
  source: "URL
  training_type: "fine-tuning"
  geographical_location: "Brooklyn, NY, USA. To check your compute's electricity grid, you can check out URL."
  hardware_used: "T4 (Google Colab)"
---
TAGS
#transformers #pytorch #gpt_neo #text-generation #arxiv-1910.09700 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
## 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: 
- 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



Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
---
license: apache-2.0
language:
- en
co2_eq_emissions:
  emissions: .05kg Co2 eq.
  source: "URL
  training_type: "fine-tuning"
  geographical_location: "Brooklyn, NY, USA. To check your compute's electricity grid, you can check out URL."
  hardware_used: "T4 (Google Colab)"
---