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api/go1.11.txt
pkg debug/elf, const EM_C166 = 116 pkg debug/elf, const EM_C166 Machine pkg debug/elf, const EM_CDP = 215 pkg debug/elf, const EM_CDP Machine pkg debug/elf, const EM_CE = 119 pkg debug/elf, const EM_CE Machine pkg debug/elf, const EM_CLOUDSHIELD = 192 pkg debug/elf, const EM_CLOUDSHIELD Machine pkg debug/elf, const EM_COGE = 216 pkg debug/elf, const EM_COGE Machine pkg debug/elf, const EM_COOL = 217 pkg debug/elf, const EM_COOL Machine
Plain Text - Registered: Tue Apr 23 11:13:09 GMT 2024 - Last Modified: Wed Aug 22 03:48:56 GMT 2018 - 25K bytes - Viewed (2) -
ci/devinfra/docker_windows/Dockerfile
[Environment]::SetEnvironmentVariable('HOME', 'C:\Users\ContainerAdministrator\', 'Machine'); \ [Environment]::SetEnvironmentVariable('HOMEDRIVE', 'C:', 'Machine'); \ [Environment]::SetEnvironmentVariable('HOMEPATH', '\Users\ContainerAdministrator\', 'Machine'); \ [Environment]::SetEnvironmentVariable('GOROOT', 'C:\Program Files\Go\', 'Machine'); \
Plain Text - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Fri Aug 18 17:24:20 GMT 2023 - 13.6K bytes - Viewed (0) -
README.md
MinIO is a High Performance Object Storage released under GNU Affero General Public License v3.0. It is API compatible with Amazon S3 cloud storage service. Use MinIO to build high performance infrastructure for machine learning, analytics and application data workloads.
Plain Text - Registered: Sun Apr 21 19:28:08 GMT 2024 - Last Modified: Wed Feb 14 17:51:34 GMT 2024 - 18.7K bytes - Viewed (0) -
docs/en/data/external_links.yml
Articles: English: - author: Kurtis Pykes - NVIDIA link: https://developer.nvidia.com/blog/building-a-machine-learning-microservice-with-fastapi/ title: Building a Machine Learning Microservice with FastAPI - author: Ravgeet Dhillon - Twilio link: https://www.twilio.com/en-us/blog/booking-appointments-twilio-notion-fastapi title: Booking Appointments with Twilio, Notion, and FastAPI - author: Abhinav Tripathi - Microsoft Blogs
Others - Registered: Sun Apr 21 07:19:11 GMT 2024 - Last Modified: Thu Mar 21 20:57:27 GMT 2024 - 21.3K bytes - Viewed (2) -
docs/en/docs/deployment/concepts.md
### Server Memory For example, if your code loads a Machine Learning model with **1 GB in size**, when you run one process with your API, it will consume at least 1 GB of RAM. And if you start **4 processes** (4 workers), each will consume 1 GB of RAM. So in total, your API will consume **4 GB of RAM**. And if your remote server or virtual machine only has 3 GB of RAM, trying to load more than 4 GB of RAM will cause problems. 🚨
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apache-maven/src/assembly/maven/conf/settings.xml
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docs/es/docs/async.md
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docs/en/docs/deployment/docker.md
Linux containers run using the same Linux kernel of the host (machine, virtual machine, cloud server, etc). This just means that they are very lightweight (compared to full virtual machines emulating an entire operating system). This way, containers consume **little resources**, an amount comparable to running the processes directly (a virtual machine would consume much more).
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docs/pt/docs/async.md
* **Machine Learning**: Normalmente exige muita multiplicação de matrizes e vetores. Pense numa grande folha de papel com números e multiplicando todos eles juntos e ao mesmo tempo.
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README.md
researchers push the state-of-the-art in ML and developers easily build and deploy ML-powered applications. TensorFlow was originally developed by researchers and engineers working within the Machine Intelligence team at Google Brain to conduct research in machine learning and neural networks. However, the framework is versatile enough to be used in other areas as well. TensorFlow provides stable [Python](https://www.tensorflow.org/api_docs/python)
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