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+ } + } + } + }, + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "3u6cckLhtarE", + "outputId": "9261dafc-5cad-452d-94d6-c058f2d415a1" + }, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Requirement already satisfied: transformers in /usr/local/lib/python3.10/dist-packages (4.35.2)\n", + "Requirement already satisfied: sentencepiece in /usr/local/lib/python3.10/dist-packages (0.1.99)\n", + "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from transformers) (3.13.1)\n", + "Requirement already satisfied: huggingface-hub<1.0,>=0.16.4 in /usr/local/lib/python3.10/dist-packages (from transformers) (0.20.3)\n", + "Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from transformers) (1.25.2)\n", + "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from transformers) (23.2)\n", + "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from transformers) (6.0.1)\n", + "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from transformers) (2023.12.25)\n", + "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from transformers) (2.31.0)\n", + "Requirement already satisfied: tokenizers<0.19,>=0.14 in /usr/local/lib/python3.10/dist-packages (from transformers) (0.15.2)\n", + "Requirement already satisfied: safetensors>=0.3.1 in /usr/local/lib/python3.10/dist-packages (from transformers) (0.4.2)\n", + "Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.10/dist-packages (from transformers) (4.66.2)\n", + "Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.16.4->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,>=0.16.4->transformers) (4.9.0)\n", + "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (3.3.2)\n", + "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (3.6)\n", + "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (2.0.7)\n", + "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (2024.2.2)\n" + ] + } + ], + "source": [ + "!pip install transformers sentencepiece" + ] + }, + { + "cell_type": "code", + "source": [ + "from transformers import MT5ForConditionalGeneration, AutoTokenizer\n", + "# Load the trained model\n", + "# model = MT5ForConditionalGeneration.from_pretrained(\"Chhabi/mt5-small-finetuned-Nepali-Health-50k-2\")\n", + "model = MT5ForConditionalGeneration.from_pretrained(\"Chhabi/mt5-Health-Nepali\")\n", + "\n", + "\n", + "# Load the tokenizer for generating new output\n", + "tokenizer = AutoTokenizer.from_pretrained(\"Chhabi/mt5-Health-Nepali\",use_fast=True)" + ], + "metadata": { + "id": "GDUYqWsVtrCn", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 365, + "referenced_widgets": [ + "24eae7e71b8f4095b01dd22a738a0ebe", + "467385c8dc9b4955bda1cdf690bf423a", + "28c26e2750ec4e42b1feb59c91770a22", + "260bcfed18764a4eb528e78c72ad482d", + "e60791e8d56b4f5ba2c1a951a8c2aebc", + "5e0c82bca18044eaad41de0f027325fa", + "1d4d184f7c084bb9a3394d8c59b4135d", + "caf0b2470dfb471a88f631f1da693e6c", + "42efaed73c53490abf3a3b48754eca4a", + "3e12c840828d4d5f942300363a09509e", + "0523e37e35a94ef3ba7c99b02bdad238", + "e73e75277cef45629a500fd354be36c0", + "68d6617c409d4db8a28f33136ed230f7", + 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to reuse this secret in all of your notebooks.\n", + "Please note that authentication is recommended but still optional to access public models or datasets.\n", + " warnings.warn(\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "config.json: 0%| | 0.00/789 [00:00