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whisper-large-v2-cv11-french-ct2

Automatic Speech Recognition
French
ctranslate2
whisper-event
Model card Files Community
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+ "\u001b[?25hRequirement already satisfied: flatbuffers in /usr/local/lib/python3.10/dist-packages (from onnxruntime<2,>=1.14->faster-whisper) (23.5.26)\n",
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+ "Requirement already satisfied: protobuf in /usr/local/lib/python3.10/dist-packages (from onnxruntime<2,>=1.14->faster-whisper) (3.20.3)\n",
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+ "Requirement already satisfied: sympy in /usr/local/lib/python3.10/dist-packages (from onnxruntime<2,>=1.14->faster-whisper) (1.11.1)\n",
1799
+ "Collecting humanfriendly>=9.1 (from coloredlogs->onnxruntime<2,>=1.14->faster-whisper)\n",
1800
+ " Downloading humanfriendly-10.0-py2.py3-none-any.whl (86 kB)\n",
1801
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m86.8/86.8 kB\u001b[0m \u001b[31m11.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
1802
+ "\u001b[?25hRequirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub>=0.13->faster-whisper) (1.26.16)\n",
1803
+ "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub>=0.13->faster-whisper) (2023.5.7)\n",
1804
+ "Requirement already satisfied: charset-normalizer~=2.0.0 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub>=0.13->faster-whisper) (2.0.12)\n",
1805
+ "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub>=0.13->faster-whisper) (3.4)\n",
1806
+ "Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.10/dist-packages (from sympy->onnxruntime<2,>=1.14->faster-whisper) (1.3.0)\n",
1807
+ "Installing collected packages: tokenizers, av, humanfriendly, ctranslate2, coloredlogs, onnxruntime, faster-whisper\n",
1808
+ "Successfully installed av-10.0.0 coloredlogs-15.0.1 ctranslate2-3.16.0 faster-whisper-0.6.0 humanfriendly-10.0 onnxruntime-1.15.1 tokenizers-0.13.3\n"
1809
+ ]
1810
+ }
1811
+ ]
1812
+ },
1813
+ {
1814
+ "cell_type": "code",
1815
+ "source": [
1816
+ "from huggingface_hub import snapshot_download\n",
1817
+ "\n",
1818
+ "# You can download use git and git-lfs\n",
1819
+ "\n",
1820
+ "hf_model_path = \"bofenghuang/whisper-large-v2-cv11-french-ct2\"\n",
1821
+ "# hf_model_path = \"bofenghuang/whisper-large-v2-cv11-german-ct2\"\n",
1822
+ "\n",
1823
+ "downloaded_model_path = snapshot_download(repo_id=hf_model_path)"
1824
+ ],
1825
+ "metadata": {
1826
+ "colab": {
1827
+ "base_uri": "https://localhost:8080/",
1828
+ "height": 177,
1829
+ "referenced_widgets": [
1830
+ "d27fb8a5ff514b019a06841d505f8bfc",
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+ "154e1edaa7a240fbb02675f71169e940",
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+ "adf6724bf8a34e1fa7a0c9b685ca77ef",
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+ "8aac460294bb47378d5e4e9746c7c765",
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+ "7340e19637f54b13a6de9ddb52247566",
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+ "d2dc68fc1fe648568edc941678bc6129",
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+ "c3c7e063f68f4e4aa3c9b6f15c100461",
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+ "8954c6cd775b4d37832293f11bb05e60",
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+ "3fb5863170c64f62949bc6d1fecf1b55",
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+ "6a44dc81aa264962a044d48d9b934dd3",
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+ "d83a876896df4279bba60e53bda77345",
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+ "bdb6209cc1e548f0a1d576318b49cba7",
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+ "aa0aed522c474e9b94fb897b48b32774",
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+ "d537557a417b40fe9fb76a409879c3fa",
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+ "62c590b86f544fe1ab59b82f78277f47",
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+ "27eff06d107941838800fa7540f63ccf",
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+ "c1f74cdbb7884b75aff03f0d2b69a312",
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+ "a5df53a5248c4e48ae5a6977f59a1c7f",
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+ "7a576ee860954f2dab4fb7afb12e78e8",
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+ "c4c210ad3db34bf5bd9b04f9c13d18e6",
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+ "2729cc4476dc4cc196a1001f38abf5c6",
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+ "cb1b7a1b2e724ad48fc45e5761263f07",
1852
+ "3c16e3f8fef34b93b56489cbded661b8",
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+ "66e3cb51e7cf429c98de9b1b173b6760",
1854
+ "e84728fad17d48e9b88089020b8699d3",
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+ "bebbc60241fb473296dbf0e15a9997d2",
1856
+ "3e45d930b592477fa70c10842b2b8e51",
1857
+ "7706b382208d4157894e97b820d9ad85",
1858
+ "4091a1d9e96347a2b0cd836b613652a5",
1859
+ "278bc9bf9fa1442291ba054e91343521",
1860
+ "c2dc92f4a0b04fa3be10a1944b0adeac",
1861
+ "fcd64530bba84e668f12ed578866ff34",
1862
+ "0628c8e798fe40368583233654a0893b",
1863
+ "f4e3c5d190294edfa5aa77a990d2d814",
1864
+ "9a5ab454b8a54822baa9773e4848e49b",
1865
+ "12e09001370547bc8b7cb222688fe96e",
1866
+ "1907961c28ad4746990f4f5e1416fb8a",
1867
+ "b2e2d4801ebf485e8ed8a63a069acd46",
1868
+ "eb325fd38a06404fb7e6c25a8b3d1342",
1869
+ "642c253734764810bc910a5d938245dd",
1870
+ "4703feb9ecc44b1ea7f18fe0a32cd9aa",
1871
+ "9372da800f7a446297c204c4899db12e",
1872
+ "69c50209e80a4a439366183578016fcc",
1873
+ "612380356c4e404b9949c464b83b3a93",
1874
+ "1eefda99095342cb917f679cd4507a38",
1875
+ "99425246136240ea992d0e873e380521",
1876
+ "71022450baeb480eb013c5def5a22209",
1877
+ "f62403c26f23455985ccb5f10bbc4520",
1878
+ "2dc5fb33e07845cca826c3819bbd7cc9",
1879
+ "ab4862c557914fe5989ec69b623b28ca",
1880
+ "c1ddb45dc5ba46809e6c37371d38583a",
1881
+ "aaf337ee085545759eaf850832e3d2c6",
1882
+ "23d17aa550f147938c8c053e557283f4",
1883
+ "6754ef61fa064649bcc8665e79d03bfe",
1884
+ "a52efaf59e1242ed975cee089372bec1"
1885
+ ]
1886
+ },
1887
+ "id": "Pmt2qkFFxCdp",
1888
+ "outputId": "54fa2bf6-49e4-412d-b05e-e44ca3b90974"
1889
+ },
1890
+ "execution_count": 2,
1891
+ "outputs": [
1892
+ {
1893
+ "output_type": "display_data",
1894
+ "data": {
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+ "text/plain": [
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+ "Fetching 4 files: 0%| | 0/4 [00:00<?, ?it/s]"
1897
+ ],
1898
+ "application/vnd.jupyter.widget-view+json": {
1899
+ "version_major": 2,
1900
+ "version_minor": 0,
1901
+ "model_id": "d27fb8a5ff514b019a06841d505f8bfc"
1902
+ }
1903
+ },
1904
+ "metadata": {}
1905
+ },
1906
+ {
1907
+ "output_type": "display_data",
1908
+ "data": {
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+ "text/plain": [
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+ "Downloading (…)02f6b/.gitattributes: 0%| | 0.00/1.52k [00:00<?, ?B/s]"
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+ ],
1912
+ "application/vnd.jupyter.widget-view+json": {
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+ "version_major": 2,
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+ "version_minor": 0,
1915
+ "model_id": "bdb6209cc1e548f0a1d576318b49cba7"
1916
+ }
1917
+ },
1918
+ "metadata": {}
1919
+ },
1920
+ {
1921
+ "output_type": "display_data",
1922
+ "data": {
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+ "text/plain": [
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+ "Downloading (…)2f6b/vocabulary.json: 0%| | 0.00/1.07M [00:00<?, ?B/s]"
1925
+ ],
1926
+ "application/vnd.jupyter.widget-view+json": {
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+ "version_major": 2,
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+ "version_minor": 0,
1929
+ "model_id": "3c16e3f8fef34b93b56489cbded661b8"
1930
+ }
1931
+ },
1932
+ "metadata": {}
1933
+ },
1934
+ {
1935
+ "output_type": "display_data",
1936
+ "data": {
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+ "text/plain": [
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+ "Downloading (…)67a02f6b/config.json: 0%| | 0.00/11.3k [00:00<?, ?B/s]"
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+ ],
1940
+ "application/vnd.jupyter.widget-view+json": {
1941
+ "version_major": 2,
1942
+ "version_minor": 0,
1943
+ "model_id": "f4e3c5d190294edfa5aa77a990d2d814"
1944
+ }
1945
+ },
1946
+ "metadata": {}
1947
+ },
1948
+ {
1949
+ "output_type": "display_data",
1950
+ "data": {
1951
+ "text/plain": [
1952
+ "Downloading model.bin: 0%| | 0.00/3.09G [00:00<?, ?B/s]"
1953
+ ],
1954
+ "application/vnd.jupyter.widget-view+json": {
1955
+ "version_major": 2,
1956
+ "version_minor": 0,
1957
+ "model_id": "1eefda99095342cb917f679cd4507a38"
1958
+ }
1959
+ },
1960
+ "metadata": {}
1961
+ }
1962
+ ]
1963
+ },
1964
+ {
1965
+ "cell_type": "code",
1966
+ "source": [
1967
+ "from faster_whisper import WhisperModel\n",
1968
+ "\n",
1969
+ "# Run on GPU with FP16\n",
1970
+ "model = WhisperModel(downloaded_model_path, device=\"cuda\", compute_type=\"float16\")\n",
1971
+ "# or run on GPU with INT8\n",
1972
+ "# model = WhisperModel(downloaded_model_path, device=\"cuda\", compute_type=\"int8_float16\")\n",
1973
+ "# or run on CPU with INT8\n",
1974
+ "# model = WhisperModel(downloaded_model_path, device=\"cpu\", compute_type=\"int8\")"
1975
+ ],
1976
+ "metadata": {
1977
+ "id": "cF6uTH0RzIlZ"
1978
+ },
1979
+ "execution_count": 3,
1980
+ "outputs": []
1981
+ },
1982
+ {
1983
+ "cell_type": "code",
1984
+ "source": [
1985
+ "audio_file = \"./sample.wav\"\n",
1986
+ "\n",
1987
+ "segments, info = model.transcribe(\n",
1988
+ " audio_file,\n",
1989
+ " beam_size=1,\n",
1990
+ " # word_timestamps=True,\n",
1991
+ " # vad_filter=True,\n",
1992
+ ")\n",
1993
+ "\n",
1994
+ "print(\"Detected language '%s' with probability %f\" % (info.language, info.language_probability))\n",
1995
+ "\n",
1996
+ "for segment in segments:\n",
1997
+ " print(\"[%.2fs -> %.2fs] %s\" % (segment.start, segment.end, segment.text))"
1998
+ ],
1999
+ "metadata": {
2000
+ "colab": {
2001
+ "base_uri": "https://localhost:8080/"
2002
+ },
2003
+ "id": "ZYFotfpJztVD",
2004
+ "outputId": "5bbcaf48-5a07-4e11-8295-16dada946df2"
2005
+ },
2006
+ "execution_count": 4,
2007
+ "outputs": [
2008
+ {
2009
+ "output_type": "stream",
2010
+ "name": "stderr",
2011
+ "text": [
2012
+ "WARNING:libav.wav:Discarding ID3 tags because more suitable tags were found.\n"
2013
+ ]
2014
+ },
2015
+ {
2016
+ "output_type": "stream",
2017
+ "name": "stdout",
2018
+ "text": [
2019
+ "Detected language 'fr' with probability 1.000000\n",
2020
+ "[0.00s -> 2.00s] Donnez-moi Zampa et je faites vous des témoins protégés.\n",
2021
+ "[2.00s -> 13.00s] Protégés ? Protégés de quoi ? Vous pouvez pas me protéger ! Personne, personne peut vous protéger de Zampa, vous le savez ! Personne peut vous protéger de Zampa ! Putain, si je parle, je suis mort ! Vous le savez, monsieur le juge !\n",
2022
+ "[13.00s -> 18.00s] Si vous vous taisez aussi avec Zampa, vous fratuez même en prison. Vous n'avez plus d'avenir à Marseille.\n"
2023
+ ]
2024
+ }
2025
+ ]
2026
+ },
2027
+ {
2028
+ "cell_type": "code",
2029
+ "source": [
2030
+ "# Check Github repo of faster-whisper for more information\n",
2031
+ "# https://github.com/guillaumekln/faster-whisper"
2032
+ ],
2033
+ "metadata": {
2034
+ "id": "iHNRy7QZ0Vdh"
2035
+ },
2036
+ "execution_count": null,
2037
+ "outputs": []
2038
+ },
2039
+ {
2040
+ "cell_type": "code",
2041
+ "source": [],
2042
+ "metadata": {
2043
+ "id": "l803LmCZ41mQ"
2044
+ },
2045
+ "execution_count": null,
2046
+ "outputs": []
2047
+ }
2048
+ ]
2049
+ }