{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "collapsed": true, "id": "CBGPJVOsqc3L", "outputId": "fa5d3c6d-ca61-4db6-d0e2-24726adf7c47" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Repository: 'deb https://ppa.launchpadcontent.net/jonathonf/ffmpeg-4/ubuntu/ jammy main'\n", "Description:\n", "Backport of FFmpeg 4 and associated libraries. Now includes AOM/AV1 support!\n", "\n", "FDK AAC is not compatible with GPL and FFmpeg can't be redistributed with it included. Please don't ask for it to be added to this public PPA.\n", "\n", "---\n", "\n", "PPA supporters:\n", "\n", "BigBlueButton (https://bigbluebutton.org)\n", "\n", "---\n", "\n", "Donate to FFMPEG: https://ffmpeg.org/donations.html\n", "Donate to Debian: https://www.debian.org/donations\n", "Donate to this PPA: https://ko-fi.com/jonathonf\n", "More info: https://launchpad.net/~jonathonf/+archive/ubuntu/ffmpeg-4\n", "Adding repository.\n", "Adding deb entry to /etc/apt/sources.list.d/jonathonf-ubuntu-ffmpeg-4-jammy.list\n", "Adding disabled deb-src entry to /etc/apt/sources.list.d/jonathonf-ubuntu-ffmpeg-4-jammy.list\n", "Adding key to /etc/apt/trusted.gpg.d/jonathonf-ubuntu-ffmpeg-4.gpg with fingerprint 4AB0F789CBA31744CC7DA76A8CF63AD3F06FC659\n", "Get:1 https://cloud.r-project.org/bin/linux/ubuntu jammy-cran40/ InRelease [3,626 B]\n", "Get:2 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64 InRelease [1,581 B]\n", "Get:3 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64 Packages [891 kB]\n", "Hit:4 http://archive.ubuntu.com/ubuntu jammy InRelease\n", "Get:5 http://security.ubuntu.com/ubuntu jammy-security InRelease [129 kB]\n", "Get:6 http://archive.ubuntu.com/ubuntu jammy-updates InRelease [128 kB]\n", "Hit:7 https://ppa.launchpadcontent.net/c2d4u.team/c2d4u4.0+/ubuntu jammy InRelease\n", "Get:8 http://security.ubuntu.com/ubuntu jammy-security/universe amd64 Packages [1,085 kB]\n", "Hit:9 https://ppa.launchpadcontent.net/deadsnakes/ppa/ubuntu jammy InRelease\n", "Hit:10 http://archive.ubuntu.com/ubuntu jammy-backports InRelease\n", "Get:11 http://archive.ubuntu.com/ubuntu jammy-updates/universe amd64 Packages [1,378 kB]\n", "Get:12 https://ppa.launchpadcontent.net/graphics-drivers/ppa/ubuntu jammy InRelease [24.3 kB]\n", "Ign:13 https://ppa.launchpadcontent.net/jonathonf/ffmpeg-4/ubuntu jammy InRelease\n", "Get:14 http://security.ubuntu.com/ubuntu jammy-security/main amd64 Packages [1,858 kB]\n", "Hit:15 https://ppa.launchpadcontent.net/ubuntugis/ppa/ubuntu jammy InRelease\n", "Get:16 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 Packages [2,129 kB]\n", "Err:17 https://ppa.launchpadcontent.net/jonathonf/ffmpeg-4/ubuntu jammy Release\n", " 404 Not Found [IP: 185.125.190.80 443]\n", "Reading package lists... Done\n", "E: The repository 'https://ppa.launchpadcontent.net/jonathonf/ffmpeg-4/ubuntu jammy Release' does not have a Release file.\n", "N: Updating from such a repository can't be done securely, and is therefore disabled by default.\n", "N: See apt-secure(8) manpage for repository creation and user configuration details.\n", "Hit:1 https://cloud.r-project.org/bin/linux/ubuntu jammy-cran40/ InRelease\n", "Hit:2 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64 InRelease\n", "Hit:3 http://security.ubuntu.com/ubuntu jammy-security InRelease\n", "Hit:4 http://archive.ubuntu.com/ubuntu jammy InRelease\n", "Hit:5 http://archive.ubuntu.com/ubuntu jammy-updates InRelease\n", "Hit:6 https://ppa.launchpadcontent.net/c2d4u.team/c2d4u4.0+/ubuntu jammy InRelease\n", "Hit:7 http://archive.ubuntu.com/ubuntu jammy-backports InRelease\n", "Hit:8 https://ppa.launchpadcontent.net/deadsnakes/ppa/ubuntu jammy InRelease\n", "Hit:9 https://ppa.launchpadcontent.net/graphics-drivers/ppa/ubuntu jammy InRelease\n", "Ign:10 https://ppa.launchpadcontent.net/jonathonf/ffmpeg-4/ubuntu jammy InRelease\n", "Hit:11 https://ppa.launchpadcontent.net/ubuntugis/ppa/ubuntu jammy InRelease\n", "Err:12 https://ppa.launchpadcontent.net/jonathonf/ffmpeg-4/ubuntu jammy Release\n", " 404 Not Found [IP: 185.125.190.80 443]\n", "Reading package lists... Done\n", "\u001b[1;31mE: \u001b[0mThe repository 'https://ppa.launchpadcontent.net/jonathonf/ffmpeg-4/ubuntu jammy Release' does not have a Release file.\u001b[0m\n", "\u001b[33mN: \u001b[0mUpdating from such a repository can't be done securely, and is therefore disabled by default.\u001b[0m\n", "\u001b[33mN: \u001b[0mSee apt-secure(8) manpage for repository creation and user configuration details.\u001b[0m\n", "Reading package lists... Done\n", "Building dependency tree... Done\n", "Reading state information... Done\n", "ffmpeg is already the newest version (7:4.4.2-0ubuntu0.22.04.1).\n", "0 upgraded, 0 newly installed, 0 to remove and 46 not upgraded.\n" ] } ], "source": [ "!add-apt-repository -y ppa:jonathonf/ffmpeg-4\n", "!apt update\n", "!apt install -y ffmpeg" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "collapsed": true, "id": "21t5yRBuqj8r", "outputId": "76a8a8f3-2265-45ac-c0d8-1a580cbdb5d5" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n", "google-colab 1.0.0 requires requests==2.31.0, but you have requests 2.32.3 which is incompatible.\u001b[0m\u001b[31m\n", "\u001b[0mCollecting git+https://github.com/huggingface/transformers\n", " Cloning https://github.com/huggingface/transformers to /tmp/pip-req-build-nj4841v0\n", " Running command git clone --filter=blob:none --quiet https://github.com/huggingface/transformers /tmp/pip-req-build-nj4841v0\n", " Resolved https://github.com/huggingface/transformers to commit 3714f3f86b88e81fa13ee4d8b194e9dbba291de7\n", " 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", "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from transformers==4.42.0.dev0) (3.14.0)\n", "Requirement already satisfied: huggingface-hub<1.0,>=0.23.0 in /usr/local/lib/python3.10/dist-packages (from transformers==4.42.0.dev0) (0.23.2)\n", "Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from transformers==4.42.0.dev0) (1.25.2)\n", "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from transformers==4.42.0.dev0) (24.0)\n", "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from transformers==4.42.0.dev0) (6.0.1)\n", "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from transformers==4.42.0.dev0) (2024.5.15)\n", "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from transformers==4.42.0.dev0) (2.32.3)\n", "Requirement already satisfied: tokenizers<0.20,>=0.19 in /usr/local/lib/python3.10/dist-packages (from transformers==4.42.0.dev0) (0.19.1)\n", "Requirement already satisfied: safetensors>=0.4.1 in /usr/local/lib/python3.10/dist-packages (from transformers==4.42.0.dev0) (0.4.3)\n", "Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.10/dist-packages (from transformers==4.42.0.dev0) (4.66.4)\n", "Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.23.0->transformers==4.42.0.dev0) (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,>=0.23.0->transformers==4.42.0.dev0) (4.12.0)\n", "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->transformers==4.42.0.dev0) (3.3.2)\n", "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->transformers==4.42.0.dev0) (3.7)\n", "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->transformers==4.42.0.dev0) (2.0.7)\n", "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->transformers==4.42.0.dev0) (2024.2.2)\n", "Building wheels for collected packages: transformers\n", " Building wheel for transformers (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n", " Created wheel for transformers: filename=transformers-4.42.0.dev0-py3-none-any.whl size=9141380 sha256=0e1ea24057099d81563c3ab4c8ea0eb7f728f9501e6675e3843543da5c57ac0d\n", " Stored in directory: /tmp/pip-ephem-wheel-cache-6z92th1w/wheels/c0/14/d6/6c9a5582d2ac191ec0a483be151a4495fe1eb2a6706ca49f1b\n", "Successfully built transformers\n", "Installing collected packages: transformers\n", " Attempting uninstall: transformers\n", " Found existing installation: transformers 4.41.1\n", " Uninstalling transformers-4.41.1:\n", " Successfully uninstalled transformers-4.41.1\n", "Successfully installed transformers-4.42.0.dev0\n", "Requirement already satisfied: librosa in /usr/local/lib/python3.10/dist-packages 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' instead.\n", " warnings.warn(\n", "/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_token.py:89: UserWarning: \n", "The secret `HF_TOKEN` does not exist in your Colab secrets.\n", "To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n", "You will be able 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", "/usr/local/lib/python3.10/dist-packages/datasets/load.py:1491: FutureWarning: The repository for mozilla-foundation/common_voice_16_1 contains custom code which must be executed to correctly load the dataset. You can inspect the repository content at https://hf.co/datasets/mozilla-foundation/common_voice_16_1\n", "You can avoid this message in future by passing the argument `trust_remote_code=True`.\n", "Passing `trust_remote_code=True` will be mandatory to load this dataset from the next major release of `datasets`.\n", " warnings.warn(\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "Downloading builder script: 0%| | 0.00/8.17k [00:00' instead.\n", " warnings.warn(\n", "/usr/local/lib/python3.10/dist-packages/datasets/load.py:1491: FutureWarning: The repository for mozilla-foundation/common_voice_16_1 contains custom code which must be executed to correctly load the dataset. You can inspect the repository content at https://hf.co/datasets/mozilla-foundation/common_voice_16_1\n", "You can avoid this message in future by passing the argument `trust_remote_code=True`.\n", "Passing `trust_remote_code=True` will be mandatory to load this dataset from the next major release of `datasets`.\n", " warnings.warn(\n" ] }, { "output_type": "stream", "name": "stdout", "text": [ "DatasetDict({\n", " train: Dataset({\n", " features: ['client_id', 'path', 'audio', 'sentence', 'up_votes', 'down_votes', 'age', 'gender', 'accent', 'locale', 'segment', 'variant'],\n", " num_rows: 8512\n", " })\n", " test: Dataset({\n", " features: ['client_id', 'path', 'audio', 'sentence', 'up_votes', 'down_votes', 'age', 'gender', 'accent', 'locale', 'segment', 'variant'],\n", " num_rows: 3143\n", " })\n", "})\n" ] } ], "source": [ "\n", "from datasets import load_dataset, DatasetDict\n", "\n", "dataset_name = \"mozilla-foundation/common_voice_16_1\"\n", "common_voice = DatasetDict()\n", "\n", "# Charger 40 % des données d'entraînement et de validation\n", "common_voice[\"train\"] = load_dataset(dataset_name, language_abbr, split=\"train[:30%]\", use_auth_token=True)\n", "common_voice[\"test\"] = load_dataset(dataset_name, language_abbr, split=\"test[:30%]\", use_auth_token=True)\n", "\n", "print(common_voice)\n", "\n" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "pS89HXrswpWH", "outputId": "a4bacd5f-01a8-42cb-96cb-96fa18070376" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "DatasetDict({\n", " train: Dataset({\n", " features: ['audio', 'sentence', 'variant'],\n", " num_rows: 8512\n", " })\n", " test: Dataset({\n", " features: ['audio', 'sentence', 'variant'],\n", " num_rows: 3143\n", " })\n", "})\n" ] } ], "source": [ "common_voice = common_voice.remove_columns(\n", " [\"accent\", \"age\", \"client_id\", \"down_votes\", \"gender\", \"locale\", \"path\", \"segment\", \"up_votes\"]\n", ")\n", "\n", "print(common_voice)" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 49, "referenced_widgets": [ "9c52da86ae624eb4b530fadb18e4af14", "73ec98342bae44b8b6589062638e3e18", "3ae600b1fc7d4ecdb0c799f1aa096074", "9d725c155d3d46d0b6fede23c74213e9", "b082d1685d6c4e4c9e2de70ca1be67c0", "8b0800005f3742589df99df3d7c5f2e2", "fd3e585a847e4d0080cee7eb3b388c9d", "ec61c14b4f5f4396b114099fd6c483d4", "3ce96945c4cf4bd1b3d247285f49b9b0", "5bf89cbc567f4a19ba20b53fa7885f45", "5e7f879c24b044cc92afc5b5caa4b425" ] }, "id": "07ss0xTmwDqO", "outputId": "ab363435-d8d4-49f4-b202-011b872134fc" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "preprocessor_config.json: 0%| | 0.00/185k [00:00 Dict[str, torch.Tensor]:\n", " # diviser les entrées et les étiquettes car elles doivent être de longueurs différentes et nécessitent des méthodes de remplissage différentes\n", " # traiter d'abord les entrées audio en renvoyant simplement des tenseurs Torch\n", " input_features = [\n", " {\"input_features\": feature[\"input_features\"][0]} for feature in features\n", " ]\n", " batch = self.processor.feature_extractor.pad(input_features, return_tensors=\"pt\")\n", "\n", " # obtenir les séquences d'étiquettes tokenisées\n", " label_features = [{\"input_ids\": feature[\"labels\"]} for feature in features]\n", " # rembourrer les étiquettes à la longueur maximale\n", " labels_batch = self.processor.tokenizer.pad(label_features, return_tensors=\"pt\")\n", "\n", " # remplacer le remplissage par -100 pour ignorer correctement les pertes\n", " labels = labels_batch[\"input_ids\"].masked_fill(\n", " labels_batch.attention_mask.ne(1), -100\n", " )\n", "\n", " # si le token bos est ajouté lors de l'étape de tokenisation précédente, couper le token bos ici puisqu'il sera de toute façon ajouté plus tard\n", " if (labels[:, 0] == self.processor.tokenizer.bos_token_id).all().cpu().item():\n", " labels = labels[:, 1:]\n", "\n", " batch[\"labels\"] = labels\n", "\n", " return batch" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "id": "wZ9B0tSt5lLt" }, "outputs": [], "source": [ "data_collator = DataCollatorSpeechSeq2SeqWithPadding(processor=processor)" ] }, { "cell_type": "code", "execution_count": 17, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 49, "referenced_widgets": [ "ee3ca62003114d818e7ab083629b5f89", "4eaa59e83fa6495aa174a8b40d192783", "ac704e5f445c40da87a9e7dd55d9708f", "216f92567969405dbffeac363fb82634", "ee2880bb04d9414b84cabbf020bbbc98", "a4486e2b7e0741abb36c6a2dca8eedbf", "4fc516a40fce4129bafcccaef0c37e89", "200905a42eea4301a8b2411cbe46dfa0", "61be4dca971d416cbc93cd45cadb761b", "df217223965d444a82ec830d337e9a46", "abd90a03018145c18d7ea05e9f201261" ] }, "id": "KEiBuVluy4xR", "outputId": "fb8bcd11-279b-4389-eee3-8b66f4005c6d" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "Downloading builder script: 0%| | 0.00/4.49k [00:00 0\n", " ]\n", " label_str_norm = [\n", " label_str_norm[i]\n", " for i in range(len(label_str_norm))\n", " if len(label_str_norm[i]) > 0\n", " ]\n", "\n", " wer = 100 * metric.compute(predictions=pred_str_norm, references=label_str_norm)\n", "\n", " return {\"wer_ortho\": wer_ortho, \"wer\": wer}" ] }, { "cell_type": "code", "execution_count": 19, "metadata": { "id": "PklXV_Pp1IWl", "colab": { "base_uri": "https://localhost:8080/", "height": 113, "referenced_widgets": [ "e9949bcb92e74330a298c7aafdb7813f", "cc46a58b50fd400fa8e5e7a28aed26ee", "54f80957e0ba4112a1069a37f2a6dc5d", "ae61071a7ddf4e1ea162245b63d8eecf", "8896346afcb2400f8c2aec60b4c3773c", "9220b83acddb48ec809411aac255fbb2", "fb3b047f0a2f4f79b7061c036cc307af", "2dda8efef1364229901d920a7f6584b1", "5dac56681d6c4309802b43c455459180", "7f559df96e6e42e3ae69a34001cb3e78", "be64761926884af79e6f8aa47401fc53", "5f00a6cdc9724bb7b24ff3d01549d558", "3c920e56d6bb413f9faec192d600975c", "b70d851a28dc4963ad17a9766db7c92b", "10d5007a3bf746cc908e11028af2ce8e", "92b0501b9ce547e9803404e632b599b5", "61b05f827b2641b2a64e053aae52f9fe", "c533b8c89a9240ada2dd485d157df800", "ad8505c07eac45409238862d65862dcc", "3aad472105084d36b4ef8c789dddb5ff", "25a8cee9eeb345098b312f09fe7a71b3", "d5d9bd91e1e3449c9c33edda64b15775", "19adc3029c27464b97ae85317aa75420", "14bfd000eb8a48b2858b3cbea2a00169", "1125f5e6dcab496d875a4d04ed453810", "8d311d38e987470aa36954ce4fa4acaa", "5dd6337e661149d69625c1d8299fea5b", "d026fdddbe3d43648604a8d8c2599683", "be53fdb25f2f428caafa59123bc6795a", "d313dfc1c1624775ab3748f428b22a20", "5f215b51ddee4ac78b6241db7868cbf9", "b4162644db454eb780c5703ae44c8468", "9df603ade69f437dbd49e3d2c6ff3d93" ] }, "outputId": "c1243a13-5b85-4fa6-d38b-9df8109b6651" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "config.json: 0%| | 0.00/1.98k [00:00" ], "text/html": [ "\n", "
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" ] }, "metadata": {} }, { "output_type": "stream", "name": "stderr", "text": [ "You have passed task=transcribe, but also have set `forced_decoder_ids` to [[1, None], [2, 50359]] which creates a conflict. `forced_decoder_ids` will be ignored in favor of task=transcribe.\n", "Some non-default generation parameters are set in the model config. These should go into a GenerationConfig file (https://huggingface.co/docs/transformers/generation_strategies#save-a-custom-decoding-strategy-with-your-model) instead. This warning will be raised to an exception in v4.41.\n", "Non-default generation parameters: {'max_length': 448, 'suppress_tokens': [1, 2, 7, 8, 9, 10, 14, 25, 26, 27, 28, 29, 31, 58, 59, 60, 61, 62, 63, 90, 91, 92, 93, 359, 503, 522, 542, 873, 893, 902, 918, 922, 931, 1350, 1853, 1982, 2460, 2627, 3246, 3253, 3268, 3536, 3846, 3961, 4183, 4667, 6585, 6647, 7273, 9061, 9383, 10428, 10929, 11938, 12033, 12331, 12562, 13793, 14157, 14635, 15265, 15618, 16553, 16604, 18362, 18956, 20075, 21675, 22520, 26130, 26161, 26435, 28279, 29464, 31650, 32302, 32470, 36865, 42863, 47425, 49870, 50254, 50258, 50358, 50359, 50360, 50361, 50362], 'begin_suppress_tokens': [220, 50257]}\n", "There were missing keys in the checkpoint model loaded: ['proj_out.weight'].\n" ] }, { "output_type": "execute_result", "data": { "text/plain": [ "TrainOutput(global_step=500, training_loss=0.8223226089477539, metrics={'train_runtime': 1621.5156, 'train_samples_per_second': 4.934, 'train_steps_per_second': 0.308, 'total_flos': 1.9695108096e+17, 'train_loss': 0.8223226089477539, 'epoch': 0.9398496240601504})" ] }, "metadata": {}, "execution_count": 23 } ], "source": [ "trainer.train()" ] }, { "cell_type": "code", "execution_count": 24, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 146 }, "id": "TbFAsSKw6frZ", "outputId": "ff37630c-a0f0-4b96-af76-3260f9477c3d" }, "outputs": [ { "output_type": "stream", "name": "stderr", "text": [ "Some non-default generation parameters are set in the model config. These should go into a GenerationConfig file (https://huggingface.co/docs/transformers/generation_strategies#save-a-custom-decoding-strategy-with-your-model) instead. This warning will be raised to an exception in v4.41.\n", "Non-default generation parameters: {'max_length': 448, 'suppress_tokens': [1, 2, 7, 8, 9, 10, 14, 25, 26, 27, 28, 29, 31, 58, 59, 60, 61, 62, 63, 90, 91, 92, 93, 359, 503, 522, 542, 873, 893, 902, 918, 922, 931, 1350, 1853, 1982, 2460, 2627, 3246, 3253, 3268, 3536, 3846, 3961, 4183, 4667, 6585, 6647, 7273, 9061, 9383, 10428, 10929, 11938, 12033, 12331, 12562, 13793, 14157, 14635, 15265, 15618, 16553, 16604, 18362, 18956, 20075, 21675, 22520, 26130, 26161, 26435, 28279, 29464, 31650, 32302, 32470, 36865, 42863, 47425, 49870, 50254, 50258, 50358, 50359, 50360, 50361, 50362], 'begin_suppress_tokens': [220, 50257]}\n" ] }, { "output_type": "execute_result", "data": { "text/plain": [ "CommitInfo(commit_url='https://huggingface.co/pfe24/whisper-tiny-dv/commit/cdead8f3f7cc13315d66bf2284d3de3678411fd5', commit_message='End of the training', commit_description='', oid='cdead8f3f7cc13315d66bf2284d3de3678411fd5', pr_url=None, pr_revision=None, pr_num=None)" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "string" } }, "metadata": {}, "execution_count": 24 } ], "source": [ "\n", "trainer.push_to_hub(\"End of the training\")" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "e3tg9XOuHk9q" }, "outputs": [], "source": [ "from transformers import pipeline\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "QGFUBT-CZoqY" }, "outputs": [], "source": [ "pipe = pipeline(\"automatic-speech-recognition\", model=\"mayssakorbi/whisper-tiny-ar\")" ] } ], "metadata": { "accelerator": "GPU", "colab": { "gpuType": "L4", "provenance": [] }, "kernelspec": { "display_name": "Python 3", "name": "python3" }, "language_info": { "name": "python" }, "widgets": { "application/vnd.jupyter.widget-state+json": { "27f962a077864472ba5aa7b8e3b11bc5": { "model_module": "@jupyter-widgets/controls", "model_name": "VBoxModel", "model_module_version": "1.5.0", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "VBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "VBoxView", "box_style": "", "children": [ "IPY_MODEL_c4f13e226fa24a8c879aa54a20095e85", "IPY_MODEL_99f88e91442e4130a2cccf90b5e285a6", "IPY_MODEL_c02d006eb0e2486dac93f94d6187149a", "IPY_MODEL_a3e154d4d8f04b90928d296f6e07afc2" ], "layout": "IPY_MODEL_e982010f92df4ffd847f977bfb82f3da" } }, "95d01495aefc486abc9c32d2f504cbe2": { "model_module": "@jupyter-widgets/controls", "model_name": "HTMLModel", "model_module_version": "1.5.0", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_98e3e7548ddf4ce699845838e9f51b84", "placeholder": "​", "style": "IPY_MODEL_b08fac96e7054eab9a08ce7f73494992", "value": "


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