metadata

license: bsd-3-clause
language:
  - en
base_model:
  - EleutherAI/gpt-neo-1.3B
pipeline_tag: text-generation
tags:
  - nsfw
  - creative-writing
  - roleplaying
datasets:
  - wikimedia/structured-wikipedia
  - wikimedia/wikipedia
  - BleuHydr4nge4/bleu_rp_training
metrics:
  - character
new_version: EleutherAI/gpt-neo-1.3B
library_name: fasttext

Red.Whimsy_Sweet Model Card

Model Summary

Red.Whimsy_Sweet is an AI model fine-tuned for creative and long-form roleplaying interactions. It explores NSFW and controversial themes, supporting up to 9,000 words per generation. Based on EleutherAI/gpt-neo-1.3B, it uses datasets from Wikipedia and custom roleplaying datasets for immersive dialogue and storytelling.

How to Use the Model

To use Red.Whimsy_Sweet, follow the instructions below.

Install Required Libraries

pip install transformers torch datasets gradio

Load the Model and Create a Gradio Interface

from transformers import GPTNeoForCausalLM, GPT2Tokenizer
import gradio as gr

# Load model and tokenizer
model = GPTNeoForCausalLM.from_pretrained("BleuHydr4nge4/red-whimsy-sweet")
tokenizer = GPT2Tokenizer.from_pretrained("EleutherAI/gpt-neo-1.3B")

# Generate text
def generate_text(prompt):
    input_ids = tokenizer(prompt, return_tensors="pt").input_ids
    output = model.generate(input_ids, max_length=9000, do_sample=True, temperature=0.7)
    return tokenizer.decode(output[0], skip_special_tokens=True)

# Gradio Interface
iface = gr.Interface(
    fn=generate_text, 
    inputs="text", 
    outputs="text", 
    title="Red.Whimsy_Sweet AI",
    description="Generate creative and long-form roleplaying text with Red.Whimsy_Sweet."
)

# Launch the interface
iface.launch()

Deploy on Hugging Face Hub

To deploy your model on the Hugging Face Hub, use the following commands:

huggingface-cli login
transformers-cli upload ./path_to_your_model --repo_name red-whimsy-sweet

Example Usage

Here's an example of how to use the model programmatically:

prompt = "In a world of ancient magic, a lone traveler sets off on a perilous journey..."
response = generate_text(prompt)
print(response)

Limitations and Ethical Considerations

This model may generate content that is not suitable for all audiences due to its NSFW capabilities.
The model's outputs should be reviewed and filtered for inappropriate or offensive content before use in production environments.
Users should be aware of potential biases in the model's training data and outputs.

License

This model is released under the BSD 3-Clause License. Please see the license file for more details.