{ "nbformat": 4, "nbformat_minor": 0, "metadata": { "colab": { "provenance": [] }, "kernelspec": { "name": "python3", "display_name": "Python 3" }, "language_info": { "name": "python" } }, "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "UKGZIq8gbUdx", "outputId": "38766390-2f71-4da3-8658-9457cef6689b" }, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "{'architectures': ['BertForSequenceClassification'],\n", " 'hidden_size': 768,\n", " 'num_attention_heads': 12,\n", " 'num_hidden_layers': 12,\n", " 'vocab_size': 30522,\n", " 'max_position_embeddings': 512,\n", " 'type_vocab_size': 2,\n", " 'layer_norm_eps': 1e-12,\n", " 'initializer_range': 0.02}" ] }, "metadata": {}, "execution_count": 1 } ], "source": [ "{\n", " \"architectures\": [\"BertForSequenceClassification\"],\n", " \"hidden_size\": 768,\n", " \"num_attention_heads\": 12,\n", " \"num_hidden_layers\": 12,\n", " \"vocab_size\": 30522,\n", " \"max_position_embeddings\": 512,\n", " \"type_vocab_size\": 2,\n", " \"layer_norm_eps\": 1e-12,\n", " \"initializer_range\": 0.02\n", "}\n" ] } ] }