{ "cells": [ { "cell_type": "markdown", "id": "0b1e9532", "metadata": {}, "source": [ "# bert-base-spanish-wwm-cased-xnli\n" ] }, { "cell_type": "markdown", "id": "2b09a9af", "metadata": {}, "source": [ "## Model description\n" ] }, { "cell_type": "markdown", "id": "e348457b", "metadata": {}, "source": [ "This model is a fine-tuned version of the [spanish BERT model](https://huggingface.co/dccuchile/bert-base-spanish-wwm-cased) with the Spanish portion of the XNLI dataset. \n" ] }, { "cell_type": "markdown", "id": "6643a3b7", "metadata": {}, "source": [ "### How to use\n" ] }, { "cell_type": "code", "execution_count": null, "id": "8475d429", "metadata": {}, "outputs": [], "source": [ "!pip install --upgrade paddlenlp" ] }, { "cell_type": "code", "execution_count": null, "id": "ced3e559", "metadata": {}, "outputs": [], "source": [ "import paddle\n", "from paddlenlp.transformers import AutoModel\n", "\n", "model = AutoModel.from_pretrained(\"Recognai/bert-base-spanish-wwm-cased-xnli\")\n", "input_ids = paddle.randint(100, 200, shape=[1, 20])\n", "print(model(input_ids))" ] }, { "cell_type": "markdown", "id": "47419faf", "metadata": {}, "source": [ "## Eval results\n" ] }, { "cell_type": "markdown", "id": "9b87e64b", "metadata": {}, "source": [ "Accuracy for the test set:\n" ] }, { "cell_type": "markdown", "id": "7be74f6f", "metadata": {}, "source": [ "| | XNLI-es |\n", "|-----------------------------|---------|\n", "|bert-base-spanish-wwm-cased-xnli | 79.9% |\n", "> 此模型介绍及权重来源于[https://huggingface.co/Recognai/bert-base-spanish-wwm-cased-xnli](https://huggingface.co/Recognai/bert-base-spanish-wwm-cased-xnli),并转换为飞桨模型格式。\n" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.13" } }, "nbformat": 4, "nbformat_minor": 5 }