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library_name: peft |
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--- |
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# AlpaGo: GPT-NeoX-20B Model Trained with Qlora Technique |
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AlpaGo is an adapter model trained using the Qlora technique on top of the GPT-NeoX-20B model. This repository contains the code and resources for AlpaGo, which can be used for natural language processing tasks. AlpaGo is built on the [GPT-NeoX-20B](https://huggingface.co/EleutherAI/gpt-neox-20b) architecture and developed by Math And AI Institute. |
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## Features |
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- AlpaGo adapter model trained with the Qlora technique |
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- Based on the GPT-NeoX-20 model, providing high-quality natural language processing capabilities on Engilish Language |
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## Installation |
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1. Clone the AlpaGo repository: |
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```python |
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!git clone https://github.com/exampleuser/alphago.git |
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``` |
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2. Install the latest version of Python 3 if you haven't already. |
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3. Install the required dependencies: |
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```python |
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!pip install -r requirements.txt |
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``` |
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## Usage |
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You can utilize AlpaGo to perform natural language processing tasks. Here's an example of how to use it: |
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```python |
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from alphago import AlpaGo |
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# Load the AlpaGo model |
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model = AlpaGo() |
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# Example input sentence |
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input_text = "Hello, AlpaGo!" |
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# Send the sentence to the model and get the results |
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output = model.process_text(input_text) |
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# Print the output |
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print(output)``` |
