Fast.ai Install on Google Colab

Fast.ai install script

!pip install fastai
!apt-get -qq install -y libsm6 libxext6 && pip install -q -U opencv-python
import cv2
from os import path
from wheel.pep425tags import get_abbr_impl, get_impl_ver, get_abi_tag
platform = '{}{}-{}'.format(get_abbr_impl(), get_impl_ver(), get_abi_tag())

accelerator = 'cu80' if path.exists('/opt/bin/nvidia-smi') else 'cpu'

!pip install -q http://download.pytorch.org/whl/{accelerator}/torch-0.3.0.post4-{platform}-linux_x86_64.whl torchvision
import torch
!pip install Pillow==4.0.0
!pip install image
%matplotlib inline
from fastai.imports import *

Check this link : https://course.fast.ai/start_colab.html

Install the necessary packages :
!curl -s https://course.fast.ai/setup/colab | bash

Saving data files

from google.colab import drive
drive.mount('/content/gdrive', force_remount=True)
root_dir = "/content/gdrive/My Drive/"
base_dir = root_dir + 'fastai-v3/'

Thanks @zeeshansayad

hello guys, I have a problem and that is when i change runtime type the GPU that comes up is Tesla T4 and this GPU doesn't support cuda versions below 10. on the other hand pytorch version 0.3 doesn't support cuda 10. does anyone have an idea what should i do?

Unfortunately, the script posted by OP doesn't work anymore. After a lot of trial and error, I was able to run all the code blocks successfully using just the following.

!pip install torchvision==0.1.9
!pip install fastai==0.7.0
!pip install torchtext==0.2.3

This works fine for me. I add another line, which fixes sklearn import error as referenced by the official commit to old/fastai (0.7.0) directory. The complete would be:

!pip install torchvision==0.1.9
!pip install torchtext==0.2.3
!pip install fastai==0.7.0

!sed --in-place '4 c\
from sklearn.preprocessing import LabelEncoder, StandardScaler;from sklearn.impute._base import SimpleImputer as Imputer' /usr/local/lib/python3.6/dist-packages/fastai/structured.py

Paste this script in your cell and run.