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Load pretrained Model\n", + "5. a. Load Trainer and train it\n", + " b. or use naive Pytorch training pipeline" + ], + "metadata": { + "id": "rzk_Q6ACfTIl" + } + }, + { + "cell_type": "markdown", + "source": [ + "## Import libraries" + ], + "metadata": { + "id": "cPjlmk7aFwkR" + } + }, + { + "cell_type": "code", + "source": [ + "# Pretty print\n", + "from pprint import pprint\n", + "# Datasets load_dataset function\n", + "from datasets import load_dataset\n", + "# Transformers Autokenizer\n", + "from transformers import AutoTokenizer, AutoModelForSequenceClassification\n", + "tokenizer = AutoTokenizer.from_pretrained('distilbert-base-uncased')\n", + "# Standard PyTorch DataLoader\n", + "from torch.utils.data import DataLoader\n", + "\n", + "from transformers import pipeline\n", + "\n", + "import torch\n", + "import torch.nn.functional as F\n" + ], + "metadata": { + "id": "FxZeFFTlFvz1" + }, + "execution_count": 4, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "## Download Dataset (USPTO)" + ], + "metadata": { + "id": "jDVxfOsznnQP" + } + }, + { + "cell_type": "markdown", + "source": [ + "use the `load_dataset` function to load all the patent applications that were filed to the USPTO in January 2016. We specify the date ranges of the training and validation sets as January 1-21, 2016 and January 22-31, 2016, respectively." + ], + "metadata": { + "id": "JtxpuQV7F712" + } + }, + { + "cell_type": "code", + "source": [ + "dataset_dict = load_dataset('HUPD/hupd',\n", + " name='sample',\n", + " data_files=\"https://huggingface.co/datasets/HUPD/hupd/blob/main/hupd_metadata_2022-02-22.feather\",\n", + " icpr_label=None,\n", + " train_filing_start_date='2016-01-01',\n", + " train_filing_end_date='2016-01-21',\n", + " val_filing_start_date='2016-01-22',\n", + " val_filing_end_date='2016-01-31',\n", + ")\n", + "\n", + "print('Loading is done!')" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 371, + "referenced_widgets": [ + "47194f6a54fb47b0be6795348a0c22ab", + "eaeb1d86af814accac27f718329fba4d", + "d712705466034d47ae52b18f956de6a1", + "114e141716c54c43b43ab660520f6078", + "66a7d86c6ad94133895257459f498ad4", + "4964adab401f474c81e9b45ccfd49fc1", + "bace3357a6fc4af9a8cfd6376155c33f", + "4ff3e45206c740e59756d119b3f08907", + "59ecf9b80d60415fba525a20a62f1885", + "f289e6b237414ac2ae93b80cdff0004b", + "e319e686f5da4051a0f64307057e3a7b", + "237723ceb8ee4015a550c2a5adf39b8e", + "fbf16ce3f4dd4eb09123062e25e47958", + "dda5f6b523dd44b38836d45d1c725692", + "0d6436b93cd04b84b166b25bf729717b", + "c19afec20c724e86b6e02edb3d882822", + "42f209664cfd486bb5066e9098dd4564", + "11ee8a8b889747c5aa64beedcf6bbcdd", + "501840a6e93248ba8ae90de3ed02b421", + "330e1a90ad424e05a14784cb951292ee", + "65691f683bd4439394c26de2563be84f", + "a543ab29bf1542c5b4f28b5e6f48aff8", + "8ffedb1a0868464ab5faf0c2c837916c", + "dbea595ea86c469ea6ca1f3ae8cd141e", + "af715c3ed45444f6acfe29a12a4495f5", + "a8c992b66110458485ba761dc406349d", + "cee04d93a88642cfb9e3649bcb2c5fd6", + "fa237d6137cd496da27be220494e3539", + "812643c2167049e5b6b24407235585e3", + "5bfc8f70236c48ae9fa6fabb45736cbf", + "576127d3ef1543c3864bd7900ebce8e2", + "30c4bb167c444c72b8b24740a4432627", + "94aa315af4db472daf53497c6653fe73", + "781250b595f1466fac595fbfff78e75e", + "3883cc98633d4b719d7545ea841a6167", + "58420a680fda4ed5a1deba1e0a53104b", + "8bb54f88275c4d679782c30ad56e80e7", + "319f4ab1cae949cbb2daf4448b556d15", + "3d467a5411744c20b3b6af4efe87c02c", + "e4387390f1d4491084bbf1a72d7f62c8", + "7ca492f9fd6448d3a76ad8acdf76d508", + "560737c7eb6d4c60971408bf555005cd", + "d5b8a3a77a2a4a3695ecfc9d6755ef9a", + "04d45404aa1445038d10d0ecf441948f", + "0b2dc24d40984e088c745766d211bbef", + "2d54d568c3e349678800d2db999fd153", + "4fe7372eaedd4b459eeddf4bb4e45142", + "75052315a3754d1cafa619cd01cd1c03", + "2462d265401d4b9298c2806080259ab2", + "70719bfca864445a8b0fd8e5cd342f61", + "509a6fe438bf4efda5b1efa5d2c0ab51", + "0c8affefb6934513a90dc662578f4f9c", + "0e98647108f745e692d1c7e0873a0932", + "89df46d590d54e538ba24f62dc8b3367", + "98c3cdd3ea9c4e1eb0b8bca3312160da", + "819e8811cff84ac1b3ec1b0125bd1362", + "ca1c66abbf40410b8d712c7add45d0c7", + "e6d1b846a1df454baa7b39f53119f357", + "53effb67dbd946dc80635e065c0dfb8b", + "d39c8d70a4a743dc913c942df125273c", + "3c5382dff7d145c4b846a994d8b29170", + "5700699178444d6ab23becc335b5c9cf", + "621f4ec5fbc34bc3b12d743aaa0fcba0", + "5dbdf945846e47c9b2442becc12144bf", + "4e86be9e7757498e9f9efff9558c2f66", + "64d59c79c22343bbaaddd512da9f31fa", + "dcdf6dae6cf14eddb0e2c7de0159963b", + "8566595c971546c09417a864e7778e45", + "eb6297cc90c14d33bcc804758b306f31", + "c6de91e03bca4907b353d5bed78f8b4b", + "b69047ded30847cf94f977021365c309", + "7e3943de11264578a67a1c172db86ffb", + "e9b63e89e6984e899646f1b0f0747e24", + "35f2263b13df482b9f75f7eaffaa54f1", + "20ac9ff4d2f041ea9a1b7c441b42189c", + "7f877e163a7944f5adea7561f496bfdd", + "627f5230b56944809e2f7469e5eef1d3" + ] + }, + "id": "pIDmYbLGF1a7", + "outputId": "0b7a2b00-40e6-4ed3-eb00-6a7012765135" + }, + "execution_count": 6, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "Downloading builder script: 0%| | 0.00/14.7k [00:00