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docs/tr/docs/project-generation.md
## Full Stack FastAPI MongoDB ... müsaitliğime ve diğer faktörlere bağlı olarak daha sonra gelebilir. 😅 🎉 ## Machine Learning modelleri, spaCy ve FastAPI GitHub: <a href="https://github.com/microsoft/cookiecutter-spacy-fastapi" class="external-link" target="_blank">https://github.com/microsoft/cookiecutter-spacy-fastapi</a> ### Machine Learning modelleri, spaCy ve FastAPI - Features * **spaCy** NER model entegrasyonu.
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docs/tr/docs/async.md
Production'da nasıl oldugunu görmek için şu bölüme bakın [Deployment](deployment/index.md){.internal-link target=_blank}. ## `async` ve `await`
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docs/en/docs/async.md
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tensorflow/c/experimental/grappler/BUILD
"//tensorflow/core:framework", "//tensorflow/core:test", "//tensorflow/core:test_main", "//tensorflow/core/grappler:grappler_item", "//tensorflow/core/grappler/clusters:single_machine", "//tensorflow/core/grappler/costs:graph_properties", "//tensorflow/core/grappler/inputs:trivial_test_graph_input_yielder", "//tensorflow/core/protobuf:error_codes_proto_impl_cc", ],
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docs/fr/docs/index.md
* **Intuitif** : Excellente compatibilité avec les IDE. <abbr title="également connu sous le nom d'auto-complétion, autocomplétion, IntelliSense">Complétion</abbr> complète. Moins de temps passé à déboguer. * **Facile** : Conçu pour être facile à utiliser et à apprendre. Moins de temps passé à lire la documentation. * **Concis** : Diminue la duplication de code. De nombreuses fonctionnalités liées à la déclaration de chaque paramètre. Moins de bugs.
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docs/tr/docs/index.md
## Görüşler "_[...] Bugünlerde **FastAPI**'ı çok fazla kullanıyorum. [...] Aslında bunu ekibimin **Microsoft'taki Machine Learning servislerinin** tamamında kullanmayı planlıyorum. Bunlardan bazıları **Windows**'un ana ürünlerine ve **Office** ürünlerine entegre ediliyor._"
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docs/compression/README.md
MinIO uses [`klauspost/compress/s2`](https://github.com/klauspost/compress/tree/master/s2) streaming compression due to its stability and performance. This algorithm is specifically optimized for machine generated content. Write throughput is typically at least 500MB/s per CPU core, and scales with the number of available CPU cores. Decompression speed is typically at least 1GB/s.
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docs/zh/docs/deployment/manually.md
## 服务器主机和服务器程序 关于名称,有一个小细节需要记住。 💡 “**服务器**”一词通常用于指远程/云计算机(物理机或虚拟机)以及在该计算机上运行的程序(例如 Uvicorn)。 请记住,当您一般读到“服务器”这个名词时,它可能指的是这两者之一。 当提到远程主机时,通常将其称为**服务器**,但也称为**机器**(machine)、**VM**(虚拟机)、**节点**。 这些都是指某种类型的远程计算机,通常运行 Linux,您可以在其中运行程序。 ## 安装服务器程序 您可以使用以下命令安装 ASGI 兼容服务器: === "Uvicorn"
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docs/fr/docs/contributing.md
```console $ bash scripts/format-imports.sh ``` </div> Comme il exécute une commande après l'autre et modifie et inverse de nombreux fichiers, il prend un peu plus de temps à s'exécuter, il pourrait donc être plus facile d'utiliser fréquemment `scripts/format.sh` et `scripts/format-imports.sh` seulement avant de commit. ## Documentation
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docs/tr/docs/tutorial/path-params.md
!!! tip "İpucu" Merak ediyorsanız söyleyeyim, "AlexNet", "ResNet" ve "LeNet" isimleri Makine Öğrenmesi <abbr title="Teknik olarak, Derin Öğrenme model mimarileri">modellerini</abbr> temsil eder. ### Bir *Yol Parametresi* Tanımlayalım
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