- 概述
- 入门指南
- 构建模型
- 使用模型
- ML 包
- 1040 - ML 包
- 1040 附表 C - ML 包
- 1040 附表 D - ML 包
- 1040 附表 E - ML 包
- 4506T - ML 包
- 990 - ML 包 - 预览
- ACORD125 - ML 包
- ACORD126 - ML 包
- ACORD131 - ML 包
- ACORD140 - ML 包
- ACORD25 - ML 包
- 银行对账单 - ML 包
- 提单 - ML 包
- 公司注册证书 - ML 包
- 原产地证书 - ML 包
- 检查 - ML 包
- 儿童产品证书 - ML 包
- CMS 1500 - ML 包
- 欧盟符合性声明 - ML 包
- 财务报表 (Financial statements) - ML 包
- FM1003 - ML 包
- I9 - ML 包
- ID Cards - ML 包
- Invoices - ML 包
- Invoices Australia - ML package
- Invoices China - ML package
- Invoices India - ML package
- Invoices Japan - ML package
- 发货发票 - ML 包
- 装箱单 - ML 包
- 工资单 - ML 包
- 护照 - ML 包
- 采购订单 - ML 包
- 收据 - ML 包
- 汇款通知书 - ML 包
- UB04 - ML 包
- 水电费账单 - ML 包
- 车辆所有权证明 - ML 包
- W2 - ML 包
- W9 - ML 包
- 公共端点
- 支持的语言
- 数据与安全性
- 许可
基础架构
The models used in modern projects are the same as those used in classic projects. However, they are significantly enhanced to benefit from our upgraded model training and infrastructure service. These improvements ensure efficient resource usage and cost-effectiveness by granting the capability to load and unload models. As an additional upgrade, we now have deployments powered by GPUs, which offer noticeably superior performance than CPUs.
Modern projects also use sophisticated algorithms for balanced model training and deployments, resulting in faster training periods and more efficient resource usage. An automatic training session is triggered when required, offering quick performance feedback. Model deployments, powered by GPUs, can automatically scale according to demand, eliminating the necessity to adjust replicas or their sizes.
In terms of performance, each account can process up to 10,000 pages per hour. This limitation can be lifted on request.