string IPersistableModel<ChatTokenLogProbabilityInfo>.GetFormatFromOptions (System.ClientModel.Primitives.ModelReaderWriterOptions options); Parameters options ModelReaderWriterOptions Returns String The format that the model uses whe...
{ "createdDateTime": "dateTimeOffset", "chatType": "string", "id": "string (identifier)", "isHiddenForAllMembers": "Boolean", "lastUpdatedDateTime": "dateTimeOffset", "onlineMeetingInfo": { "@odata.type": "microsoft.graph.teamworkOnlineMeetingInfo" }, "tenantId": "string", "topic": "...
HEFA 25-定位零件/柱塞 Powered by 为你推荐 近似的零部件 相关附件 附加信息 供应商地理位置 没有建议信息 3D 尺寸标注 2D 点击此处生成CAD模型 生成PDF文件
Normalised Standard elements for injection and die casting molds EBU-7BG Self lubricating guide bush removable Powered by 为你推荐 近似的零部件 相关附件 附加信息 供应商地理位置 没有建议信息 3D 尺寸标注 2D 点击此处生成CAD模型 生成PDF文件
196785 HMVD-DL25-DA40 196785 HMVD-DL25-DA40 280.000 0.000 180.000 0.000 55.000 255.000 12.500 40.000 250.000 0.000 0.000 0.000 2.100 0.000 23.000 140.000 10.000 12.500 0.000 40.000 0.000 23.000 159.000 49.000 72.000 0.000 56.000 0.000 9.000 5.500 0.000 ...
The/inforoute returns information about the model that is deployed to the endpoint. Return the model's information by calling the following method: Python model_info = client.get_model_info() The response is as follows: Python print("Model name:", model_info.model_name) print("Model type:...
from azure.ai.inference.models import FunctionDefinition, ChatCompletionsFunctionToolDefinition flight_info = ChatCompletionsFunctionToolDefinition( function=FunctionDefinition( name="get_flight_info", description="Returns information about the next flight between two cities. This includes the name of the ai...
011180 011180 K.33 Ball valve G1/2 0.785 005129 005129 K.34 Ball valve G3/4 0.768 036221 036221 K.33 Ball valve G1/2 with sile... 0.847 036223 036223 K.34 Ball valve G3/4 with sile... 0.814为你推荐 近似的零部件 相关附件 附加信息 供应商地理位置 没有建议信...
FARBE 颜色 ⁿ/ₐ BEST1 订货号已设定 ⁿ/ₐ B 宽度 [mm] D 直径 [mm] H 高度 [mm] L 长度 [mm] ELAGE 安装位置 ⁿ/ₐ P 螺距 ⁿ/ₐ ANZEIGE 旋转一圈后显示的数值 ⁿ/ₐ KOMMA 小数点位置 ⁿ/ₐ...
[info1.txt][info2.pdf]. In a terminal, run the following command to run the evaluation: Bash Копиране python -m evaltools evaluate --config=my_config.json --numquestions=14 This script created a new experiment folder in my_results/ with the evaluation. The folder contains...