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hebrew-gpt_neo-small Text Streaming CPU
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{
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"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/gist/Norod/cc0f196a5de762b2898ed333a78420de/hebrew-gpt_neo-small-text-streaming-cpu.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "markdown",
"source": [
"# Text Streaming with `.generate()` 🤗\n",
"\n",
"In v4.28, 🤗 `transformers` added the possibility to stream the contents of `generate()` as they are created. \n",
"\n",
"It adds a flexible `streamer` argument, but this notebook focuses on the simplest case: streaming the output straight into your terminal!\n",
"\n",
"For more information, please refer to the documentation:\n",
"- [How to stream](https://huggingface.co/docs/transformers/main/en/generation_strategies#streaming)\n",
"- [`TextStreamer` reference](https://huggingface.co/docs/transformers/main/en/internal/generation_utils#transformers.TextStreamer)"
],
"metadata": {
"id": "JnnH5B_cn3e-"
}
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "lIYdn1woOS1n",
"outputId": "49056535-e143-43a1-9f79-0960145b57fa"
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"text": [
" Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
" Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
" Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m7.6/7.6 MB\u001b[0m \u001b[31m33.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m199.8/199.8 KB\u001b[0m \u001b[31m20.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h Building wheel for transformers (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n"
]
}
],
"source": [
"# Token streaming will be released with v4.28. Until it is relased, \n",
"# install from `main`\n",
"!pip install --upgrade git+https://github.com/huggingface/transformers.git -qq"
]
},
{
"cell_type": "code",
"source": [
"# Download the model and the tokenizer\n",
"from transformers import AutoModelForCausalLM, AutoTokenizer\n",
"tok = AutoTokenizer.from_pretrained(\"Norod78/hebrew-gpt_neo-small\")\n",
"model = AutoModelForCausalLM.from_pretrained(\"Norod78/hebrew-gpt_neo-small\")"
],
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{
"cell_type": "code",
"source": [
"# Steam generation through TextStreamer!\n",
"from transformers import TextStreamer\n",
"\n",
"inputs = tok([\"רצף של מספרים: אחת, שתיים, שלוש,\"], return_tensors=\"pt\")\n",
"streamer = TextStreamer(tok)\n",
"\n",
"_ = model.generate(**inputs, streamer=streamer, max_new_tokens=15)"
],
"metadata": {
"id": "pTuPhytlo-9Z",
"outputId": "fe306bcc-6e29-4d61-f2eb-94de426037dd",
"colab": {
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}
},
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"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"רצף של מספרים: אחת, שתיים, שלוש, ארבע, חמש, שש, שבע, שמונה, תשע, תשע עשרה,\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"inputs = tok([\"האיש האחרון בעולם ישב לבד בחדרו, כשלפתע נשמעה דפיקה\"], return_tensors=\"pt\")\n",
"_ = model.generate(**inputs, streamer=streamer, repetition_penalty=2.0, do_sample=True, max_new_tokens=256)"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "SdRgfluSFugf",
"outputId": "bd9d6eb5-6ee4-407a-ed9b-55924ea0c378"
},
"execution_count": 9,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"דפיקההאיש האחרון בעולם ישב לבד בחדרו, כשלפתע נשמעה דפיקה בדלת. \"שלום. ג'ק! עכשיו קוראים לי טאריק.\" הוא פתח את הדלת וראה איש מדבר. קולו היה שקט ורגוע. אדם לא-נכסף. הוא היה גבוה, בעל שיער כהה ועיניים בהירות, עיניו היו אדומות, לחייו אדומות מרוב בהלה, מבטו קר ואכזרי, כמעט נטול בושה כמו אור השמש. הגבר שהיכה בבטנו היה גבר כבד...\n",
"\"מה לעשות?\" שאלה סוכנת הבית, מתעלמת מאיש נוסף שעמד ליד הדלת.\n",
"\"אני לא יכולה להיכנס בגלל שעוד שלושה אנשים נמצאים כאן.\" היא עצרה את צעדיו ונעצה בו מבט חמור.\n",
"האיש הביט בעיניה של האישה והרים את מבטו לשמים. \"את יכולה לעבור ולראות אחד מהאחרים.\" היא הפסיקה את צעדיה והתיישבה במקומו של האיש על המיטה. שני הגברים ישבו במרחק בטוח זה מזה על מיטתו של איש זקן שעמד סמוך לדלת בקושי רב. האיש המתין בסבלנות עד שימות, ולאחר מכן הרים את קולו. \"מי עוד?\" שאלה האישה.\n",
"\"איש אחד - איש צעיר - שהוא יותר מדי חכם, ואולי גם קצת זקן בשביל שאני אכנס.\" הזקן ניענע בראשו לשלילה. \"מי עוד יש לו?\" שאל האיש.\n",
"\"אתה יודע מי?\" אמרה אשתו\n"
]
}
]
}
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