{"id":13204,"date":"2024-11-13T00:38:21","date_gmt":"2024-11-12T16:38:21","guid":{"rendered":"https:\/\/www.aisharenet.com\/?p=13204"},"modified":"2024-11-13T00:39:05","modified_gmt":"2024-11-12T16:39:05","slug":"tablegpt2","status":"publish","type":"post","link":"https:\/\/www.kdjingpai.com\/ja\/tablegpt2\/","title":{"rendered":"TableGPT2\uff1a\u8868\u683c\u6570\u636e\u96c6\u6210\u7684\u591a\u6a21\u6001\u6a21\u578b"},"content":{"rendered":"<p>TableGPT2\u662f\u7531\u6d59\u6c5f\u5927\u5b66\u56e2\u961f\u5f00\u53d1\u7684\u4e00\u6b3e\u591a\u6a21\u6001\u6a21\u578b\uff0c\u4e13\u6ce8\u4e8e\u8868\u683c\u6570\u636e\u7684\u96c6\u6210\u548c\u5904\u7406\u3002\u8be5\u6a21\u578b\u901a\u8fc7\u9884\u8bad\u7ec3\u548c\u5fae\u8c03\uff0c\u80fd\u591f\u5728\u8868\u683c\u6570\u636e\u76f8\u5173\u4efb\u52a1\u4e2d\u8868\u73b0\u51fa\u8272\uff0c\u540c\u65f6\u4fdd\u6301\u5f3a\u5927\u7684\u901a\u7528\u8bed\u8a00\u548c\u7f16\u7801\u80fd\u529b\u3002TableGPT2\u7684\u521b\u65b0\u4e4b\u5904\u5728\u4e8e\u5176\u72ec\u7279\u7684\u8868\u683c\u7f16\u7801\u5668\uff0c\u80fd\u591f\u5904\u7406\u6a21\u7cca\u67e5\u8be2\u3001\u7f3a\u5931\u5217\u540d\u548c\u4e0d\u89c4\u5219\u8868\u683c\u7b49\u73b0\u5b9e\u5e94\u7528\u4e2d\u7684\u5e38\u89c1\u95ee\u9898\u3002<\/p>\n<p>&nbsp;<\/p>\n<h2>\u529f\u80fd\u5217\u8868<\/h2>\n<ul>\n<li><strong>\u8868\u683c\u6570\u636e\u5904\u7406<\/strong>\uff1a\u80fd\u591f\u9ad8\u6548\u5904\u7406\u548c\u5206\u6790\u7ed3\u6784\u5316\u8868\u683c\u6570\u636e\u3002<\/li>\n<li><strong>\u591a\u6a21\u6001\u96c6\u6210<\/strong>\uff1a\u7ed3\u5408\u6587\u672c\u548c\u8868\u683c\u6570\u636e\uff0c\u63d0\u4f9b\u66f4\u5168\u9762\u7684\u5206\u6790\u80fd\u529b\u3002<\/li>\n<li><strong>\u9ad8\u7ea7\u67e5\u8be2\u5904\u7406<\/strong>\uff1a\u5904\u7406\u590d\u6742\u7684\u67e5\u8be2\uff0c\u652f\u6301\u6a21\u7cca\u67e5\u8be2\u548c\u7f3a\u5931\u6570\u636e\u3002<\/li>\n<li><strong>\u4e1a\u52a1\u667a\u80fd\u5e94\u7528<\/strong>\uff1a\u9002\u7528\u4e8e\u5404\u79cd\u4e1a\u52a1\u667a\u80fd\u573a\u666f\uff0c\u63d0\u4f9b\u7cbe\u51c6\u7684\u6570\u636e\u5206\u6790\u548c\u51b3\u7b56\u652f\u6301\u3002<\/li>\n<li><strong>\u5f00\u653e\u6e90\u7801<\/strong>\uff1a\u63d0\u4f9b\u5f00\u6e90\u4ee3\u7801\u548c\u8be6\u7ec6\u6587\u6863\uff0c\u65b9\u4fbf\u7528\u6237\u96c6\u6210\u548c\u4e8c\u6b21\u5f00\u53d1\u3002<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2>\u4f7f\u7528\u5e2e\u52a9<\/h2>\n<h3>\u5b89\u88c5\u4e0e\u914d\u7f6e<\/h3>\n<ol>\n<li><strong>\u5b89\u88c5\u4f9d\u8d56<\/strong>\uff1a\u786e\u4fdd\u5b89\u88c5\u6700\u65b0\u7248\u672c\u7684transformers\u5e93\u3002\n<pre><code>pip install transformers&gt;=4.37.0\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u52a0\u8f7d\u6a21\u578b<\/strong>\uff1a\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u52a0\u8f7dTableGPT2\u6a21\u578b\u3002\n<pre><code>from transformers import AutoModelForCausalLM, AutoTokenizer\r\nmodel = AutoModelForCausalLM.from_pretrained(\"tablegpt\/TableGPT2-7B\")\r\ntokenizer = AutoTokenizer.from_pretrained(\"tablegpt\/TableGPT2-7B\")\r\n<\/code><\/pre>\n<\/li>\n<\/ol>\n<h3>\u4f7f\u7528\u793a\u4f8b<\/h3>\n<ol>\n<li><strong>\u8bfb\u53d6\u8868\u683c\u6570\u636e<\/strong>\uff1a\u4f7f\u7528pandas\u8bfb\u53d6CSV\u6587\u4ef6\u3002\n<pre><code>import pandas as pd\r\ndata = pd.read_csv(\"example.csv\")\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u751f\u6210\u67e5\u8be2<\/strong>\uff1a\u6784\u5efa\u67e5\u8be2\u5e76\u751f\u6210\u54cd\u5e94\u3002\n<pre><code>query = \"\u663e\u793a2023\u5e74\u9500\u552e\u6570\u636e\"\r\ninputs = tokenizer(query, return_tensors=\"pt\")\r\noutputs = model.generate(**inputs)\r\nresponse = tokenizer.decode(outputs[0], skip_special_tokens=True)\r\nprint(response)\r\n<\/code><\/pre>\n<\/li>\n<\/ol>\n<h3>\u9ad8\u7ea7\u529f\u80fd<\/h3>\n<ol>\n<li><strong>\u5904\u7406\u6a21\u7cca\u67e5\u8be2<\/strong>\uff1aTableGPT2\u80fd\u591f\u5904\u7406\u4e0d\u5b8c\u6574\u6216\u6a21\u7cca\u7684\u67e5\u8be2\uff0c\u63d0\u4f9b\u51c6\u786e\u7684\u7ed3\u679c\u3002<\/li>\n<li><strong>\u7f3a\u5931\u6570\u636e\u5904\u7406<\/strong>\uff1a\u6a21\u578b\u80fd\u591f\u667a\u80fd\u586b\u8865\u7f3a\u5931\u7684\u6570\u636e\u5217\uff0c\u786e\u4fdd\u6570\u636e\u5b8c\u6574\u6027\u3002<\/li>\n<li><strong>\u4e0d\u89c4\u5219\u8868\u683c\u5904\u7406<\/strong>\uff1a\u5373\u4f7f\u8868\u683c\u683c\u5f0f\u4e0d\u89c4\u8303\uff0cTableGPT2\u4e5f\u80fd\u6709\u6548\u89e3\u6790\u548c\u5904\u7406\u3002<\/li>\n<\/ol>\n<h3>\u4e1a\u52a1\u667a\u80fd\u5e94\u7528<\/h3>\n<ol>\n<li><strong>\u6570\u636e\u5206\u6790<\/strong>\uff1a\u901a\u8fc7TableGPT2\uff0c\u7528\u6237\u53ef\u4ee5\u5feb\u901f\u5206\u6790\u5927\u91cf\u8868\u683c\u6570\u636e\uff0c\u751f\u6210\u6709\u4ef7\u503c\u7684\u5546\u4e1a\u6d1e\u5bdf\u3002<\/li>\n<li><strong>\u51b3\u7b56\u652f\u6301<\/strong>\uff1a\u6a21\u578b\u63d0\u4f9b\u7684\u7cbe\u51c6\u6570\u636e\u5206\u6790\u7ed3\u679c\uff0c\u5e2e\u52a9\u4f01\u4e1a\u505a\u51fa\u660e\u667a\u7684\u51b3\u7b56\u3002<\/li>\n<li><strong>\u81ea\u52a8\u5316\u62a5\u544a\u751f\u6210<\/strong>\uff1a\u5229\u7528TableGPT2\uff0c\u7528\u6237\u53ef\u4ee5\u81ea\u52a8\u751f\u6210\u8be6\u7ec6\u7684\u4e1a\u52a1\u62a5\u544a\uff0c\u8282\u7701\u65f6\u95f4\u548c\u4eba\u529b\u3002<\/li>\n<\/ol>\n<h3>\u5f00\u6e90\u4e0e\u793e\u533a\u652f\u6301<\/h3>\n<ol>\n<li><strong>\u5f00\u6e90\u4ee3\u7801<\/strong>\uff1aTableGPT2\u7684\u4ee3\u7801\u5728GitHub\u4e0a\u5f00\u6e90\uff0c\u7528\u6237\u53ef\u4ee5\u81ea\u7531\u4e0b\u8f7d\u548c\u4f7f\u7528\u3002<\/li>\n<li><strong>\u793e\u533a\u652f\u6301<\/strong>\uff1aHugging Face\u793e\u533a\u63d0\u4f9b\u4e30\u5bcc\u7684\u8d44\u6e90\u548c\u652f\u6301\uff0c\u7528\u6237\u53ef\u4ee5\u5728\u8bba\u575b\u4e0a\u4ea4\u6d41\u548c\u83b7\u53d6\u5e2e\u52a9\u3002<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>TableGPT2\u662f\u7531\u6d59\u6c5f\u5927\u5b66\u56e2\u961f\u5f00\u53d1\u7684\u4e00\u6b3e\u591a\u6a21\u6001\u6a21\u578b\uff0c\u4e13\u6ce8\u4e8e\u8868\u683c\u6570\u636e\u7684\u96c6\u6210\u548c\u5904\u7406\u3002\u8be5\u6a21\u578b\u901a\u8fc7\u9884\u8bad\u7ec3\u548c\u5fae\u8c03\uff0c\u80fd\u591f\u5728\u8868\u683c\u6570\u636e\u76f8\u5173\u4efb\u52a1\u4e2d\u8868\u73b0\u51fa\u8272\uff0c\u540c\u65f6\u4fdd\u6301\u5f3a\u5927\u7684\u901a\u7528\u8bed\u8a00\u548c\u7f16\u7801\u80fd\u529b\u3002TableGPT2\u7684\u521b\u65b0\u4e4b\u5904\u5728\u4e8e\u5176\u72ec\u7279\u7684\u8868\u683c\u7f16\u7801\u5668\uff0c\u80fd\u591f\u5904\u7406\u6a21\u7cca&#8230;<\/p>\n","protected":false},"author":1,"featured_media":61229,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[230],"class_list":["post-13204","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tool","tag-aikaiyuanxiangmu"],"_links":{"self":[{"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/posts\/13204","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/comments?post=13204"}],"version-history":[{"count":0,"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/posts\/13204\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/media\/61229"}],"wp:attachment":[{"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/media?parent=13204"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/categories?post=13204"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/tags?post=13204"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}