xinzhel

• Ubuntu environments: https://gist.github.com/xinzhel/6eee594f22cf6b95910dc67c40c21b94
• Install VS-Code and WSL remote extension on the WSL distribtion.
  • VSCode could be conveniently used as the client interface for Windows WSL 2, Azure VM, Azure Computing Instance and Azure Compute Cluster.
• Run the following code to setup Python environment

wget https://repo.anaconda.com/miniconda/Miniconda3-py38_23.3.1-0-Linux-x86_64.sh
bash Miniconda3-py38_23.3.1-0-Linux-x86_64.sh

This will download Python version 3.8. Check links here for more versions.

xinzhel

1. Install WSL 2 (with separate linux kernel) and Linux distribution

# run the following command in PowerShell
$ wsl --install -d Ubuntu-18.04

# Ubuntu-18.04 is my preferred Linux distribution. You can find all the supported distributions by running
# wsl --list --online

• Caveat: you may not launch wsl or Ubuntu without restarting my PC to launch the Ubuntu

xinzhel

{
  "dataset_reader": {
    "type": "sst_tokens",
    "token_indexers": {
            "tokens": {
                "type": "pretrained_transformer",
                "model_name": "bert-base-uncased",
                "namespace": "tokens"
            }
       },

xinzhel

// Configuration for a basic LSTM sentiment analysis classifier, using the binary Stanford Sentiment
// Treebank (Socher at al. 2013).
{
  "dataset_reader": {
    "type": "sst_tokens",
    "use_subtrees": true,
    "granularity": "2-class",
    "tokenizer": {
        "type": "spacy"
    },