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+ }
1729
+ },
1730
+ "cells": [
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+ {
1732
+ "cell_type": "code",
1733
+ "source": [
1734
+ "!pip install transformers -U -q"
1735
+ ],
1736
+ "metadata": {
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+ "colab": {
1738
+ "base_uri": "https://localhost:8080/"
1739
+ },
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+ "id": "SeK6WdVAKssZ",
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+ "outputId": "0dc60309-e0d1-4985-ce5c-4df8dd4129c4"
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+ },
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+ "execution_count": null,
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+ "outputs": [
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+ {
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+ "output_type": "stream",
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+ "name": "stdout",
1748
+ "text": [
1749
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m3.8/3.8 MB\u001b[0m \u001b[31m9.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
1750
+ "\u001b[?25h"
1751
+ ]
1752
+ }
1753
+ ]
1754
+ },
1755
+ {
1756
+ "cell_type": "code",
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+ "source": [
1758
+ "! pip install sentencepiece"
1759
+ ],
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+ "metadata": {
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+ "id": "dVGaR-WBKeO9",
1762
+ "colab": {
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+ "base_uri": "https://localhost:8080/"
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+ },
1765
+ "outputId": "ccf85946-3b80-4282-f6f9-6ef77cf728cc"
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+ },
1767
+ "execution_count": null,
1768
+ "outputs": [
1769
+ {
1770
+ "output_type": "stream",
1771
+ "name": "stdout",
1772
+ "text": [
1773
+ "Requirement already satisfied: sentencepiece in /usr/local/lib/python3.10/dist-packages (0.1.99)\n"
1774
+ ]
1775
+ }
1776
+ ]
1777
+ },
1778
+ {
1779
+ "cell_type": "code",
1780
+ "source": [
1781
+ "!pip freeze | grep transformers"
1782
+ ],
1783
+ "metadata": {
1784
+ "id": "Hc_447WIKeGE",
1785
+ "colab": {
1786
+ "base_uri": "https://localhost:8080/"
1787
+ },
1788
+ "outputId": "3194847b-5bfd-4d06-b3ac-dd3f8a11a079"
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+ },
1790
+ "execution_count": null,
1791
+ "outputs": [
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+ {
1793
+ "output_type": "stream",
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+ "name": "stdout",
1795
+ "text": [
1796
+ "transformers==4.37.0\n"
1797
+ ]
1798
+ }
1799
+ ]
1800
+ },
1801
+ {
1802
+ "cell_type": "code",
1803
+ "source": [
1804
+ "!pip install transformers==4.20.1"
1805
+ ],
1806
+ "metadata": {
1807
+ "colab": {
1808
+ "base_uri": "https://localhost:8080/"
1809
+ },
1810
+ "id": "EqSzvZTjXx80",
1811
+ "outputId": "47862d92-129a-4cb7-d11a-8e119027a4f3"
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+ },
1813
+ "execution_count": null,
1814
+ "outputs": [
1815
+ {
1816
+ "output_type": "stream",
1817
+ "name": "stdout",
1818
+ "text": [
1819
+ "Collecting transformers==4.20.1\n",
1820
+ " Using cached transformers-4.20.1-py3-none-any.whl (4.4 MB)\n",
1821
+ "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from transformers==4.20.1) (3.13.1)\n",
1822
+ "Requirement already satisfied: huggingface-hub<1.0,>=0.1.0 in /usr/local/lib/python3.10/dist-packages (from transformers==4.20.1) (0.20.2)\n",
1823
+ "Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from transformers==4.20.1) (1.23.5)\n",
1824
+ "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from transformers==4.20.1) (23.2)\n",
1825
+ "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from transformers==4.20.1) (6.0.1)\n",
1826
+ "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from transformers==4.20.1) (2023.6.3)\n",
1827
+ "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from transformers==4.20.1) (2.31.0)\n",
1828
+ "Collecting tokenizers!=0.11.3,<0.13,>=0.11.1 (from transformers==4.20.1)\n",
1829
+ " Using cached tokenizers-0.12.1-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (6.6 MB)\n",
1830
+ "Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.10/dist-packages (from transformers==4.20.1) (4.66.1)\n",
1831
+ "Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.1.0->transformers==4.20.1) (2023.6.0)\n",
1832
+ "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.1.0->transformers==4.20.1) (4.5.0)\n",
1833
+ "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->transformers==4.20.1) (3.3.2)\n",
1834
+ "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->transformers==4.20.1) (3.6)\n",
1835
+ "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->transformers==4.20.1) (2.0.7)\n",
1836
+ "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->transformers==4.20.1) (2023.11.17)\n",
1837
+ "Installing collected packages: tokenizers, transformers\n",
1838
+ " Attempting uninstall: tokenizers\n",
1839
+ " Found existing installation: tokenizers 0.15.0\n",
1840
+ " Uninstalling tokenizers-0.15.0:\n",
1841
+ " Successfully uninstalled tokenizers-0.15.0\n",
1842
+ " Attempting uninstall: transformers\n",
1843
+ " Found existing installation: transformers 4.37.0\n",
1844
+ " Uninstalling transformers-4.37.0:\n",
1845
+ " Successfully uninstalled transformers-4.37.0\n",
1846
+ "Successfully installed tokenizers-0.12.1 transformers-4.20.1\n"
1847
+ ]
1848
+ }
1849
+ ]
1850
+ },
1851
+ {
1852
+ "cell_type": "code",
1853
+ "source": [
1854
+ "# using fast tokenizer\n",
1855
+ "from transformers import MBartForConditionalGeneration, MBart50TokenizerFast"
1856
+ ],
1857
+ "metadata": {
1858
+ "id": "luD6s_26KeAx"
1859
+ },
1860
+ "execution_count": null,
1861
+ "outputs": []
1862
+ },
1863
+ {
1864
+ "cell_type": "code",
1865
+ "source": [
1866
+ "model = MBartForConditionalGeneration.from_pretrained(\"facebook/mbart-large-50-one-to-many-mmt\")"
1867
+ ],
1868
+ "metadata": {
1869
+ "id": "CuoAVsMuKd4S",
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+ "colab": {
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+ "base_uri": "https://localhost:8080/",
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+ "height": 81,
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+ "referenced_widgets": [
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+ "b67687bdf77d4935af1e508cfbe75063",
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+ "9f9fd1071d3f43a3b8253b8edf3f1c26",
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+ "6d7243b594e44e188f67ff8e99e72a30",
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+ "07623284bd984b53a631a55fad7debcc",
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+ "378662cf8eb14840bd6e108b2ef496fd",
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+ "1559383c08ed437faa876e607a19d323",
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+ "b71948b732b94069a54d8cc2aae65a3e",
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+ "77799e0ec7f34f998710a4af5eb79523",
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+ "90d728243e1d4e559bd12ff62d8e4b5d",
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+ "6b3896f44ca048b8b965c7bd482b4c6e",
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+ "02a0ccdc9e96456685a46971ff51f3f8",
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+ "6c9a7fdb0643414f870ec6a5d4b1afea",
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+ "67929a7b489f4174bb61cf2b673122f7",
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+ "d6e0f1ebd95f47a580de2d20ee95ff3e",
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+ ]
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+ },
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+ "outputId": "a7ae1130-7c1c-4452-83bc-79ccb8e27e16"
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+ },
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+ "outputs": [
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+ {
1980
+ "output_type": "display_data",
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+ "data": {
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+ "text/plain": [
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+ "Downloading: 0%| | 0.00/528 [00:00<?, ?B/s]"
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+ ],
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+ "version_minor": 0,
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+ "model_id": "aa21e28ec13f45bcb3f74eabd84e009c"
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+ }
1990
+ },
1991
+ "metadata": {}
1992
+ },
1993
+ {
1994
+ "output_type": "display_data",
1995
+ "data": {
1996
+ "text/plain": [
1997
+ "Downloading: 0%| | 0.00/4.83M [00:00<?, ?B/s]"
1998
+ ],
1999
+ "application/vnd.jupyter.widget-view+json": {
2000
+ "version_major": 2,
2001
+ "version_minor": 0,
2002
+ "model_id": "a6d23de1cdde41fdab6013c67dbc79b8"
2003
+ }
2004
+ },
2005
+ "metadata": {}
2006
+ },
2007
+ {
2008
+ "output_type": "display_data",
2009
+ "data": {
2010
+ "text/plain": [
2011
+ "Downloading: 0%| | 0.00/717 [00:00<?, ?B/s]"
2012
+ ],
2013
+ "application/vnd.jupyter.widget-view+json": {
2014
+ "version_major": 2,
2015
+ "version_minor": 0,
2016
+ "model_id": "3d7f9f8dc54847bab20c0da3cf0b309c"
2017
+ }
2018
+ },
2019
+ "metadata": {}
2020
+ }
2021
+ ],
2022
+ "source": [
2023
+ "tokenizer = MBart50TokenizerFast.from_pretrained(\"facebook/mbart-large-50-one-to-many-mmt\", src_lang=\"en_XX\")"
2024
+ ]
2025
+ },
2026
+ {
2027
+ "cell_type": "code",
2028
+ "source": [
2029
+ "# Lets select a sentense\n",
2030
+ "article_en = \"I am a good girl\""
2031
+ ],
2032
+ "metadata": {
2033
+ "id": "pxJBcTB9LX76"
2034
+ },
2035
+ "execution_count": null,
2036
+ "outputs": []
2037
+ },
2038
+ {
2039
+ "cell_type": "code",
2040
+ "source": [
2041
+ "model_inputs = tokenizer(article_en, return_tensors=\"pt\")\n"
2042
+ ],
2043
+ "metadata": {
2044
+ "id": "gGaph11yLp_I"
2045
+ },
2046
+ "execution_count": null,
2047
+ "outputs": []
2048
+ },
2049
+ {
2050
+ "cell_type": "code",
2051
+ "source": [
2052
+ "# translate from English to Hindi\n",
2053
+ "generated_tokens = model.generate(\n",
2054
+ " **model_inputs,\n",
2055
+ " forced_bos_token_id=tokenizer.lang_code_to_id[\"hi_IN\"]\n",
2056
+ ")"
2057
+ ],
2058
+ "metadata": {
2059
+ "id": "kEbWNGWjL3zp"
2060
+ },
2061
+ "execution_count": null,
2062
+ "outputs": []
2063
+ },
2064
+ {
2065
+ "cell_type": "code",
2066
+ "source": [
2067
+ "translation = tokenizer.batch_decode(generated_tokens, skip_special_tokens=True)"
2068
+ ],
2069
+ "metadata": {
2070
+ "id": "VWkuzN3BL3xZ"
2071
+ },
2072
+ "execution_count": null,
2073
+ "outputs": []
2074
+ },
2075
+ {
2076
+ "cell_type": "code",
2077
+ "source": [
2078
+ "translation"
2079
+ ],
2080
+ "metadata": {
2081
+ "colab": {
2082
+ "base_uri": "https://localhost:8080/"
2083
+ },
2084
+ "id": "L2X6yyhmL3ux",
2085
+ "outputId": "c8b19194-c634-4959-a82b-8c5af4649dbe"
2086
+ },
2087
+ "execution_count": null,
2088
+ "outputs": [
2089
+ {
2090
+ "output_type": "execute_result",
2091
+ "data": {
2092
+ "text/plain": [
2093
+ "['मैं एक अच्छा लड़की हूँ']"
2094
+ ]
2095
+ },
2096
+ "metadata": {},
2097
+ "execution_count": 14
2098
+ }
2099
+ ]
2100
+ },
2101
+ {
2102
+ "cell_type": "code",
2103
+ "source": [
2104
+ "# translate from English to Tamil\n",
2105
+ "generated_tokens = model.generate(\n",
2106
+ " **model_inputs,\n",
2107
+ " forced_bos_token_id=tokenizer.lang_code_to_id[\"ta_IN\"]\n",
2108
+ ")"
2109
+ ],
2110
+ "metadata": {
2111
+ "id": "r8IK8RLnZrfO"
2112
+ },
2113
+ "execution_count": null,
2114
+ "outputs": []
2115
+ },
2116
+ {
2117
+ "cell_type": "code",
2118
+ "source": [
2119
+ "translation = tokenizer.batch_decode(generated_tokens, skip_special_tokens=True)"
2120
+ ],
2121
+ "metadata": {
2122
+ "id": "Egt_KrRvZrYU"
2123
+ },
2124
+ "execution_count": null,
2125
+ "outputs": []
2126
+ },
2127
+ {
2128
+ "cell_type": "code",
2129
+ "source": [
2130
+ "translation"
2131
+ ],
2132
+ "metadata": {
2133
+ "colab": {
2134
+ "base_uri": "https://localhost:8080/"
2135
+ },
2136
+ "id": "h-N825prZrIm",
2137
+ "outputId": "f0e77adc-8563-4074-ce9e-bad6aa4c37f4"
2138
+ },
2139
+ "execution_count": null,
2140
+ "outputs": [
2141
+ {
2142
+ "output_type": "execute_result",
2143
+ "data": {
2144
+ "text/plain": [
2145
+ "['நான் ஒரு நல்ல பெண்']"
2146
+ ]
2147
+ },
2148
+ "metadata": {},
2149
+ "execution_count": 17
2150
+ }
2151
+ ]
2152
+ },
2153
+ {
2154
+ "cell_type": "code",
2155
+ "source": [
2156
+ "# translate from English to Telugu\n",
2157
+ "generated_tokens = model.generate(\n",
2158
+ " **model_inputs,\n",
2159
+ " forced_bos_token_id=tokenizer.lang_code_to_id[\"te_IN\"]\n",
2160
+ ")"
2161
+ ],
2162
+ "metadata": {
2163
+ "id": "E1Ql4eo5bE7v"
2164
+ },
2165
+ "execution_count": null,
2166
+ "outputs": []
2167
+ },
2168
+ {
2169
+ "cell_type": "code",
2170
+ "source": [
2171
+ "translation = tokenizer.batch_decode(generated_tokens, skip_special_tokens=True)"
2172
+ ],
2173
+ "metadata": {
2174
+ "id": "cYr9Xi9gbE0r"
2175
+ },
2176
+ "execution_count": null,
2177
+ "outputs": []
2178
+ },
2179
+ {
2180
+ "cell_type": "code",
2181
+ "source": [
2182
+ "translation"
2183
+ ],
2184
+ "metadata": {
2185
+ "colab": {
2186
+ "base_uri": "https://localhost:8080/"
2187
+ },
2188
+ "id": "xq8N7J1RbEpZ",
2189
+ "outputId": "95cd2522-8023-494e-d298-8e050d140fe5"
2190
+ },
2191
+ "execution_count": null,
2192
+ "outputs": [
2193
+ {
2194
+ "output_type": "execute_result",
2195
+ "data": {
2196
+ "text/plain": [
2197
+ "['నేనుఒక మంచి అమ్మాయిam']"
2198
+ ]
2199
+ },
2200
+ "metadata": {},
2201
+ "execution_count": 20
2202
+ }
2203
+ ]
2204
+ }
2205
+ ]
2206
+ }