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example notebook for running GPT-Neo
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| "cell_type": "markdown", | |
| "metadata": { | |
| "id": "x0VG9c0HgnOH" | |
| }, | |
| "source": [ | |
| "# GPT-Neo Playground\n", | |
| "\n", | |
| "## Step 1: installation\n", | |
| "\n", | |
| "**Note:** If you are a Georgian user, you can skip installation steps below and set Kernel -> Change kernel -> Python [conda env:gpt_neo_generation]\n", | |
| "\n", | |
| "Recommendation: create a conda environment and install all dependencies. Select the conda environment as the kernel in the JupyterLab.\n", | |
| "\n", | |
| "```\n", | |
| "conda create --name myenv python=3.6\n", | |
| "conda activate myenv\n", | |
| "conda install jupyter\n", | |
| "conda install nb_conda\n", | |
| "conda install ipykernel\n", | |
| "python -m ipykernel install --user --name myenv\n", | |
| "```\n", | |
| "\n", | |
| "Required packages:\n", | |
| "```\n", | |
| "pip install torch==1.7.1\n", | |
| "pip install -q git+https://github.com/huggingface/transformers.git@83d38c9ff387a7b4ffe40082a3f8c036bf0eddd7\n", | |
| "```\n", | |
| "\n", | |
| "## Step 2: Select the GPT-Neo model\n", | |
| "\n", | |
| "Could be 1.3B or 2.7B\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 1, | |
| "metadata": { | |
| "id": "EHDU-KUagd18" | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "gpt_neo_model = \"1.3B\" #@param [\"1.3B\", \"2.7B\"]" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "id": "9XojGMiqmhBD" | |
| }, | |
| "source": [ | |
| "## Step 3: Is it a CPU or GPU instance?\n", | |
| "Recommended CPU instance: c5.4xlarge, c5.12xlarge\n", | |
| "\n", | |
| "Recommended GPU instance: p3.2xlarge" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 2, | |
| "metadata": { | |
| "id": "xeBpS1LAmr3q" | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "run_time = \"cpu\" #@param [\"cpu\", \"gpu\"]" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "id": "bbpHhJUJg4iu" | |
| }, | |
| "source": [ | |
| "## Step 4: Downloading the GPT-Neo model" | |
| ] | |
| }, | |
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| "cell_type": "code", | |
| "execution_count": 3, | |
| "metadata": { | |
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| "base_uri": "https://localhost:8080/", | |
| "height": 313, | |
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| "text": [ | |
| "CPU times: user 37.4 s, sys: 6.92 s, total: 44.4 s\n", | |
| "Wall time: 1min 17s\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "%%time\n", | |
| "from transformers import GPTNeoForCausalLM, GPT2Tokenizer\n", | |
| "if gpt_neo_model == \"1.3B\":\n", | |
| " model = GPTNeoForCausalLM.from_pretrained(\"EleutherAI/gpt-neo-1.3B\")\n", | |
| " tokenizer = GPT2Tokenizer.from_pretrained(\"EleutherAI/gpt-neo-1.3B\")\n", | |
| "elif gpt_neo_model == \"2.7B\":\n", | |
| " model = GPTNeoForCausalLM.from_pretrained(\"EleutherAI/gpt-neo-2.7B\")\n", | |
| " tokenizer = GPT2Tokenizer.from_pretrained(\"EleutherAI/gpt-neo-2.7B\")" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "id": "8GX9jfuLg7X_" | |
| }, | |
| "source": [ | |
| "## Step 5: What is the prompt?\n", | |
| "\n", | |
| "Below is the prompt for title generation, replace it with your prompt." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 4, | |
| "metadata": { | |
| "colab": { | |
| "base_uri": "https://localhost:8080/" | |
| }, | |
| "id": "5v6GPcXNg9BZ", | |
| "outputId": "af329668-a19e-45f7-ba81-9298742c8131" | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "Overwriting prompt.txt\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "%%writefile prompt.txt\n", | |
| "Write a short, thought-provoking, and eye-catching post title for Hacker News (https://news.ycombinator.com/) submission based on a blog post’s provided description.\n", | |
| "\n", | |
| "Post description: The post describes how to deliver constructive feedback in difficult situations. The author claims that thoughtful, empathetic language can make or break business relationships and suggests that excellent communication is not just about what you say; it is about what other people hear.\n", | |
| "Post title: A guide to difficult conversations\n", | |
| "\n", | |
| "Post description: The post describes applying the behavior model invented by Stanford professor BJ Fogg to battle procrastination. The author suggests the three things we need to change the behavior and explains why we procrastinate.\n", | |
| "Post title: How to stop procrastinating by using the Fogg Behavior Model\n", | |
| "\n", | |
| "Post description: The post explains that conventional education does not teach students how to use tools like the command line, text editors, and control systems. The idea is that programmers spend hundreds of hours using these tools and therefore need to master them to work more efficiently.\n", | |
| "Post title: The missing semester of CS education\n", | |
| "\n", | |
| "Post description: The post describes the process for taking thoughtful meeting notes. The author covers how he trained himself to remember what is happening during long meetings and suggests actionable steps to integrate the note-taking habit in your life.\n", | |
| "Post title:" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "id": "w-XdH100ivXJ" | |
| }, | |
| "source": [ | |
| "## Step 6: What is the temperature? How many words do you want GPT-Neo to generate?" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 5, | |
| "metadata": { | |
| "id": "ZRVWqVpJiuwV" | |
| }, | |
| "outputs": [], | |
| "source": [ | |
| "temperature = 0.9 #@param {type:\"string\"}\n", | |
| "max_length = 300 #@param {type:\"integer\"}" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "id": "zMhJeIJ_jpkl" | |
| }, | |
| "source": [ | |
| "## Step 7: You are all set! Run the next cell and you should see the result." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 7, | |
| "metadata": { | |
| "colab": { | |
| "base_uri": "https://localhost:8080/" | |
| }, | |
| "id": "ooVlSkWCjTYY", | |
| "outputId": "a7759f51-c658-45b3-f85b-97478657ca15" | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stderr", | |
| "output_type": "stream", | |
| "text": [ | |
| "Setting `pad_token_id` to `eos_token_id`:50256 for open-end generation.\n" | |
| ] | |
| }, | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "Write a short, thought-provoking, and eye-catching post title for Hacker News (https://news.ycombinator.com/) submission based on a blog post’s provided description.\n", | |
| "\n", | |
| "Post description: The post describes how to deliver constructive feedback in difficult situations. The author claims that thoughtful, empathetic language can make or break business relationships and suggests that excellent communication is not just about what you say; it is about what other people hear.\n", | |
| "Post title: A guide to difficult conversations\n", | |
| "\n", | |
| "Post description: The post describes applying the behavior model invented by Stanford professor BJ Fogg to battle procrastination. The author suggests the three things we need to change the behavior and explains why we procrastinate.\n", | |
| "Post title: How to stop procrastinating by using the Fogg Behavior Model\n", | |
| "\n", | |
| "Post description: The post explains that conventional education does not teach students how to use tools like the command line, text editors, and control systems. The idea is that programmers spend hundreds of hours using these tools and therefore need to master them to work more efficiently.\n", | |
| "Post title: The missing semester of CS education\n", | |
| "\n", | |
| "Post description: The post describes the process for taking thoughtful meeting notes. The author covers how he trained himself to remember what is happening during long meetings and suggests actionable steps to integrate the note-taking habit in your life.\n", | |
| "Post title: Take notes and take a meeting\n", | |
| "\n", | |
| "Post description: The post describes the importance of\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "temperature = float(temperature)\n", | |
| "f = open(\"prompt.txt\", \"r\")\n", | |
| "prompt = f.read()\n", | |
| "prompt = prompt.strip()\n", | |
| "\n", | |
| "input_ids = tokenizer(prompt, return_tensors=\"pt\").input_ids\n", | |
| "if run_time == \"gpu\":\n", | |
| " input_ids = input_ids.to('cuda')\n", | |
| " model.to('cuda')\n", | |
| "gen_tokens = model.generate(input_ids, do_sample=True, temperature=temperature, max_length=max_length)\n", | |
| "gen_text = tokenizer.batch_decode(gen_tokens)[0]\n", | |
| "print(gen_text)" | |
| ] | |
| }, | |
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