Text Generation
PEFT
English
File size: 1,279 Bytes
06f65a8
4e2d4f0
06f65a8
525a0f1
6d43162
525a0f1
6d43162
525a0f1
 
 
 
 
 
 
 
 
 
 
04972db
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
b38fc3b
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
---
library_name: peft
---

# AlpaGo: GPT-NeoX-20B Model Trained with Qlora Technique

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.

## Features

- AlpaGo adapter model trained with the Qlora technique
- Based on the GPT-NeoX-20 model, providing high-quality natural language processing capabilities on Engilish Language

## Installation

1. Clone the AlpaGo repository:
```python
!git clone https://github.com/exampleuser/alphago.git
```
2. Install the latest version of Python 3 if you haven't already.

3. Install the required dependencies:
```python
!pip install -r requirements.txt
```
## Usage

You can utilize AlpaGo to perform natural language processing tasks. Here's an example of how to use it:

```python
from alphago import AlpaGo

# Load the AlpaGo model
model = AlpaGo()

# Example input sentence
input_text = "Hello, AlpaGo!"

# Send the sentence to the model and get the results
output = model.process_text(input_text)

# Print the output
print(output)
```