readme: ---
  language: 
  - en
  thumbnail: "https://github.com/faGH/fa.creative/blob/master/Icons/FrostAura/FA%20Logo/FrostAura.Logo.Complex.png?raw=true"
  tags:
  - text-generation
  - novel-generation
  - fiction
  - gpt-neo-x
  - pytorch
  license: "mit"
  ---
  
  <p align="center">
    <img src="https://github.com/faGH/fa.creative/blob/master/Icons/FrostAura/FA%20Logo/FrostAura.Logo.Complex.png?raw=true" width="75" title="hover text">
  </p>
  
  # fa.intelligence.models.generative.novels.fiction
  ## Description
  This FrostAura Intelligence model is a fine-tuned version of [EleutherAI/gpt-neox-20b](https://huggingface.co/EleutherAI/gpt-neox-20b) for fictional text content generation.
  
  ## Getting Started
  ### PIP Installation
  ```
  pip install -U --no-cache-dir transformers
  ```
  ### Usage
  ```
  from transformers import GPTNeoXForCausalLM, GPTNeoXTokenizerFast
  
  model_name = 'FrostAura/gpt-neox-20b-fiction-novel-generation'
  model = GPTNeoXForCausalLM.from_pretrained(model_name)
  tokenizer = GPTNeoXTokenizerFast.from_pretrained(model_name)
  
  prompt = 'GPTNeoX20B is a 20B-parameter autoregressive Transformer model developed by EleutherAI.'
  
  input_ids = tokenizer(prompt, return_tensors="pt").input_ids
  
  gen_tokens = model.generate(
    input_ids,
    do_sample=True,
    temperature=0.9,
    max_length=100,
  )
  gen_text = tokenizer.batch_decode(gen_tokens)[0]
  
  print(f'Result: {gen_text}')
  ```
  
  ## Further Fine-Tuning
  `in development`
  
  ## Support
  If you enjoy FrostAura open-source content and would like to support us in continuous delivery, please consider a donation via a platform of your choice.
  
  | Supported Platforms | Link |
  | ------------------- | ---- |
  | PayPal | [Donate via Paypal](https://www.paypal.com/donate/?hosted_button_id=SVEXJC9HFBJ72) |
  
  For any queries, contact dean.martin@frostaura.net.