This project is based on deep learning using PyTorch. It involves loading large text data, checking for GPU availability, and likely includes further tasks related to natural language processing or other deep learning applications.
Installation
To run this project, you need to have Python installed along with the following dependencies:
pip install torch
Usage
Check for GPU availability:
The code first checks if a CUDA-enabled GPU is available to speed up computations:
python
1import torch
2torch.cuda.is_available()
Load data from a text file:
The script reads text data from a file called input.txt:
python
1import os
2file_path = os.path.join('/content/input.txt')3withopen(file_path,'r')as f:4 text = read()
The size of the text is printed as output.
Further Processing:
Additional cells are likely included for processing this data (e.g., tokenization, model training).
Example Output
The code outputs whether a GPU is available:
True
It also provides the size of the input text:
78204307 characters
Requirements
Python 3.x
PyTorch
You can install the required packages using:
pip install torch
License
This project is open-source and available for further development and modifications.
