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--- |
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language: |
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- en |
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thumbnail: "https://github.com/faGH/fa.creative/blob/master/Icons/FrostAura/FA%20Logo/FrostAura.Logo.Complex.png?raw=true" |
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tags: |
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- text-generation |
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- novel-generation |
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- fiction |
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- gpt-neo-x |
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- pytorch |
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license: "mit" |
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--- |
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<p align="right"> |
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<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"> |
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</p> |
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# fa.intelligence.models.generative.novels.fiction |
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## Description |
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This FrostAura Intelligence is a fine-tuned version of [EleutherAI/gpt-neox-20b](https://huggingface.co/EleutherAI/gpt-neox-20b) for fictional text content generation. |
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## Getting Started |
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### PIP Installation |
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``` |
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pip install -U --no-cache-dir transformers |
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``` |
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### Usage |
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``` |
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from transformers import GPTNeoXForCausalLM, GPTNeoXTokenizerFast |
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model_name = 'FrostAura/gpt-neox-20b-fiction-novel-generation' |
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model = GPTNeoXForCausalLM.from_pretrained(model_name) |
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tokenizer = GPTNeoXTokenizerFast.from_pretrained(model_name) |
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prompt = 'GPTNeoX20B is a 20B-parameter autoregressive Transformer model developed by EleutherAI.' |
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input_ids = tokenizer(prompt, return_tensors="pt").input_ids |
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gen_tokens = model.generate( |
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input_ids, |
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do_sample=True, |
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temperature=0.9, |
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max_length=100, |
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) |
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gen_text = tokenizer.batch_decode(gen_tokens)[0] |
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print(f'Result: {gen_text}') |
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``` |
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## Contribute |
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In order to contribute, simply fork the repository, make changes and create a pull request. |
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## Support |
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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. |
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| Supported Platforms | Link | |
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| ------------------- | ---- | |
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| PayPal | [Donate via Paypal](https://www.paypal.com/donate/?hosted_button_id=SVEXJC9HFBJ72) | |
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For any queries, contact [email protected]. |
