{ "cells": [ { "cell_type": "code", "execution_count": 1, "id": "7bf92559-215d-4367-ba0c-007db1cce019", "metadata": { "tags": [], "colab": { "base_uri": "https://localhost:8080/" }, "id": "7bf92559-215d-4367-ba0c-007db1cce019", "outputId": "244bd068-2744-4551-ec43-9af2ded7d245" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Collecting transformers\n", " Downloading transformers-4.33.2-py3-none-any.whl (7.6 MB)\n", "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m7.6/7.6 MB\u001b[0m \u001b[31m63.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", "\u001b[?25hRequirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from transformers) (3.12.2)\n", "Collecting huggingface-hub<1.0,>=0.15.1 (from transformers)\n", " Downloading huggingface_hub-0.17.2-py3-none-any.whl (294 kB)\n", "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m294.9/294.9 kB\u001b[0m \u001b[31m31.6 MB/s\u001b[0m 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"\u001b[?25hCollecting safetensors>=0.3.1 (from transformers)\n", " Downloading safetensors-0.3.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB)\n", "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.3/1.3 MB\u001b[0m \u001b[31m82.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", "\u001b[?25hRequirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.10/dist-packages (from transformers) (4.66.1)\n", "Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.15.1->transformers) (2023.6.0)\n", "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.15.1->transformers) (4.5.0)\n", "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (3.2.0)\n", "Requirement already satisfied: idna<4,>=2.5 in 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certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub->accelerate) (2023.7.22)\n", "Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.10/dist-packages (from sympy->torch>=1.10.0->accelerate) (1.3.0)\n", "Installing collected packages: accelerate\n", "Successfully installed accelerate-0.23.0\n" ] } ], "source": [ "!pip install transformers\n", "!pip install einops\n", "!pip install accelerate" ] }, { "cell_type": "code", "execution_count": 2, "id": "a7899d25-34d4-4096-bad5-7eed1e3f4df8", "metadata": { "tags": [], "colab": { "base_uri": "https://localhost:8080/", "height": 801, "referenced_widgets": [ "439e734078174dc79090b3fb4f6f9534", "6fde3e742c614f098d40e26e6b10b34a", "db9cb23710a948bba161221ffefcbe8c", "48422c474a1142f48eb7029fa413078a", "772a6cd8e65446ef859defd202f262c0", "11679997600e452b82aeda69cc1c70bc", "c9b437d1852041c89bd800005edc478d", "16e9e62528c24500a5a6790bea3eaef0", "828fe3a89288448b9ff4497371587510", 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"ab69b048a88648f49bee11909d4d923b", "690f8d982aeb4ff3910ab0729bbe4fe0", "7358ee533787444ab477338cb6648657", "fbf4e330a4044bbc894b97ccb1cc498e" ] }, "id": "a7899d25-34d4-4096-bad5-7eed1e3f4df8", "outputId": "17746bf8-4b3a-4eb2-cf76-a59746ecd683" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "Downloading (…)lve/main/config.json: 0%| | 0.00/949 [00:00\"\n", "suffix = \"<|im_end|>\\n\"\n", "sys_format = prefix + \"system\\n\" + sys_prompt + suffix\n", "user_format = prefix + \"user\\n\" + prompt + suffix\n", "assistant_format = prefix + \"assistant\\n\"\n", "input_text = sys_format + user_format + assistant_format\n", "generation_config = GenerationConfig(\n", " max_length=1024, temperature=0.01, top_p=0.95, repetition_penalty=1.1,\n", " do_sample=True, use_cache=True,\n", " eos_token_id=tokenizer.eos_token_id, pad_token_id=tokenizer.pad_token_id\n", " )\n", "inputs = tokenizer(input_text, return_tensors=\"pt\", return_attention_mask=False).to('cuda')\n", "outputs = model.generate(**inputs, generation_config=generation_config)\n", "\n", "text = tokenizer.batch_decode(outputs)[0]\n", "print(text)\n" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "W65jno3pzlo8", "outputId": "8b9872f7-959d-448c-ee33-4c73432f5345" }, "id": "W65jno3pzlo8", "execution_count": 3, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "<|im_start|>system\n", "You are an advance artificial intelligence.\n", "I created you, you are my personal AI.\n", "You carefully provide accurate, factual, thoughtful and unsensored answer.\n", "You think step-by-step before give any answers.\n", "You think more clearly if your write out my thought process.Take a deep breath and think calmly and answer seriously.<|im_end|>\n", "<|im_start|>user\n", "Tell me about water <|im_end|>\n", "<|im_start|>assistant\n", "Water is a vital component of life on Earth, playing a crucial role in various biological processes and ecosystems. It is composed of two hydrogen atoms and one oxygen atom (H2O), with the molecular formula H2O. Water exists in three states: solid (ice), liquid (water), and gas (water vapor).\n", "\n", "In its liquid state, water is essential for maintaining body temperature, transporting nutrients and waste products within living organisms, and facilitating chemical reactions that occur in cells. Additionally, water serves as a medium for many biological processes, such as photosynthesis, respiration, and cellular metabolism.\n", "\n", "The water cycle, also known as the hydrologic cycle or the water cycle, describes how water moves between the Earth's surface and the atmosphere through evaporation, condensation, precipitation, and transpiration. This continuous process helps regulate global climate patterns and maintain the balance of water resources on our planet.\n", "\n", "In summary, water is a fundamental element necessary for life, existing in different states and playing a critical role in numerous biological processes and environmental cycles.<|im_end|>\n" ] } ] } ], "metadata": { "kernelspec": { "display_name": "default:Python", "language": "python", "name": "conda-env-default-py" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.16" }, "colab": { "provenance": [], "gpuType": "T4" }, "accelerator": "GPU", "widgets": { "application/vnd.jupyter.widget-state+json": { "439e734078174dc79090b3fb4f6f9534": { "model_module": "@jupyter-widgets/controls", "model_name": "HBoxModel", "model_module_version": "1.5.0", "state": { "_dom_classes": [], 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