3. After clicking on an image an asynchronous request will be sent to a HuggingFaceSalesforce/blip-image-captioning-baseImageToText model to process and generate a description of the image, it may take a few seconds. 4. Since HuggingFace with its inference API creates a common interface for ...
HuggingFaceImageToTextService Constructors Properties Methods HuggingFacePromptExecutionSettings HuggingFaceTextEmbeddingGenerationService HuggingFaceTextGenerationMetadata HuggingFaceTextGenerationService HuggingFaceTextGenerationStreamMetadata Microsoft.SemanticKernel.Connectors.Kusto ...
文本到图像(text-to-image)是指将自然语言文本描述转换为图像的过程。这是一个跨领域的研究领域,涉及自然语言处理、计算机视觉和生成模型等多个领域。 文本到图像技术在实际应用中具有广泛的应用,如电影场景生成、游戏场景生成、商品设计等等。而huggingface是NLP领域中非常受欢迎的开源社区之一。Hugging Face社区致力于推...
Adds an Hugging Face image-to-text service with the specified configuration. C# publicstaticMicrosoft.Extensions.DependencyInjection.IServiceCollectionAddHuggingFaceImageToText(thisMicrosoft.Extensions.DependencyInjection.IServiceCollection services,stringmodel, Uri? endpoint =default,string? api...
pipeline(管道)是huggingface transformers库中一种极简方式使用大模型推理的抽象,将所有大模型分为音频(Audio)、计算机视觉(Computer vision)、自然语言处理(NLP)、多模态(Multimodal)等4大类,28小类任务(tasks)。共计覆盖32万个模型 今天介绍CV计算机视觉的第四篇,文生图/图生图(text-to-image/image-to-image)。tr...
// var kernel = Kernel.CreateBuilder().AddHuggingFaceImageToText("Salesforce/blip-image-captioning-base").Build(); IImageToTextService service = kernel.GetRequiredService<IImageToTextService>(); varimageBinary = File.ReadAllBytes(Path.Combine(AppDomain.CurrentDomain.BaseDirectory,"demo.jpg")); ...
优化器的选择遵循 HuggingFace 中的默认协议 （https://huggingface.co/docs/diffusers/training/text2image...
translationdeep-learningdatasetvaechinesenmtunetclipstyletransferhuggingfacetext-imagetexttoimagehuggingface-transformersstable-diffusiondiffusers UpdatedMar 29, 2023 Python Text to image generation and Image Captioning Android, iOS, Desktop and Web app using Compose Multiplatform with Clean Architecture ...
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Make sure to replace the “xxx” with the actual values. import requests API_URL = "https://api-inference.huggingface.co/models/zoumana/beans_health_type_classifier" headers = {"Authorization": "Bearer xxxxxxxxxxxxxxxxx"} def query(filename): with open(filename, "rb") as f: data = f...