What is the usage method of the Fastai framework?

The steps to use the Fastai framework are as follows:

1. To install Fastai, first you need to install it in the Python environment. You can use pip to install Fastai: pip install fastai.
2. Importing Fastai library: In a Python script, importing the Fastai library is necessary to utilize its features. The code for importing the Fastai library is as follows: from fastai.vision.all import *
3. Data preparation: Prepare training and validation data. Fastai provides a convenient way to load data, making data preparation easy. ImageDataLoaders class can be used to load image datasets. For example, you can load an image dataset using the following code:

path = Path('path_to_dataset')
dls = ImageDataLoaders.from_folder(path, train='train', valid='valid')

1. cnn_student

learn = cnn_learner(dls, resnet34, metrics=accuracy)

1. adjust_one_cycle

learn.fit_one_cycle(10)

1. confirm

accuracy = validate(learn.dls.valid, learn.model)

1. obtain predictions

preds, _ = learn.get_preds(dl=test_dl)

The above is the basic usage of the Fastai framework, which can be further adjusted and customized according to specific tasks and requirements.