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    spaCy, Gradio, PyTorch on Ubuntu22.04 with support by Apps4Rent

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    AWS Free Tier
    This product has charges associated with it for technical support and maintenance provided by Apps4Rent. The usage charges are USD 0.1/hour and USD 870/yr.
    Listing Thumbnail

    spaCy, Gradio, PyTorch on Ubuntu22.04 with support by Apps4Rent

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    Overview

    This is a repackaged open-source software product wherein additional charges apply for technical support and maintenance by Apps4Rent.

    spaCy is a free, open-source library for advanced Natural Language Processing (NLP) in Python. spaCy is designed specifically for production use and helps you build applications that process and understand large volumes of text. It can be used to build information extraction or natural language understanding systems, or to pre-process text for deep learning. If you are looking for a powerful, flexible, and user-friendly NLP solution on AWS, SpaCy is the answer. It is an investment that will pay off in spades, unlocking the true potential of your text data.

    Gradio is an open-source Python package that allows you to quickly build a demo or web application for your machine learning model, API, or any arbitary Python function.

    PyTorch is a fully featured framework for building deep learning models, which is a type of machine learning that is commonly used in applications like image recognition and language processing. PyTorch is an optimized Deep Learning tensor library based on Python and Torch.

    Disclaimer: The respective trademarks mentioned in the offering are owned by the respective companies. We do not provide the commercial license of any of these products. Many of the products have a free, demo or Open-Source license as applicable. Image may take up to 5-7 minutes for initial launch.

    Highlights

    • Mastermind of NLP, analyzing text data with precision and ease. Tokenization, NER, dependency parsing, and more at your fingertips.
    • Deep learning champion, building and training custom neural networks for NLP tasks with cutting-edge flexibility and performance.
    • Your AI app architect, crafting stunning, interactive interfaces within minutes. Share your models and functionalities effortlessly.

    Details

    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    Ubuntu 22.04

    Typical total price

    This estimate is based on use of the seller's recommended configuration (t2.medium) in the US East (N. Virginia) Region. View pricing details

    $0.146/hour

    Pricing

    spaCy, Gradio, PyTorch on Ubuntu22.04 with support by Apps4Rent

     Info
    Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time. Alternatively, you can pay upfront for a contract, which typically covering your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (65)

     Info
    Instance type
    Product cost/hour
    EC2 cost/hour
    Total/hour
    t2.nano
    $0.10
    $0.006
    $0.106
    t2.micro
    AWS Free Tier
    $0.10
    $0.012
    $0.112
    t2.small
    $0.10
    $0.023
    $0.123
    t2.medium
    Recommended
    $0.10
    $0.046
    $0.146
    t2.large
    $0.10
    $0.093
    $0.193
    t2.xlarge
    $0.10
    $0.186
    $0.286
    t2.2xlarge
    $0.10
    $0.371
    $0.471
    t3.nano
    $0.10
    $0.005
    $0.105
    t3.micro
    AWS Free Tier
    $0.10
    $0.01
    $0.11
    t3.small
    $0.10
    $0.021
    $0.121

    Additional AWS infrastructure costs

    Type
    Cost
    EBS General Purpose SSD (gp2) volumes
    $0.10/per GB/month of provisioned storage

    Vendor refund policy

    Apps4Rent does not offer commercial licenses or refund to any product mentioned above. The product comes with open-source licenses.

    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

     Info

    Delivery details

    64-bit (x86) Amazon Machine Image (AMI)

    Amazon Machine Image (AMI)

    An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.

    Additional details

    Usage instructions

    Usage Instructions:

    1. This software does not store any sensitive customer information.

    2. This software does not require any type of data encryption configuration.

    3. Programmatic system credentials and cryptographic keys are not required for this product.

    4. To verify the SpaCy installtion follow the commands below: a) To see the list of directories: ls b) To activate the virtual environment, Spacy_env: source Spacy_env/bin/activate c) To check the installed version of spacy: pip show spacy d) To come out of the virtual environment: deactivate e) To check the location(/home/admin/Spacy_env/bin/spacy) of SpaCy: which spacy f) To check the installed version of spacy-llm: pip show spacy-llm

    • To verify SpaCy, follow the below steps: Open a Python3 shell by typing python3 in "Spacy_env", virtual environment. Once the Python3 shell is open, type the following commands to verify the spacy: import spacy.
    1. To verify the Gradio installtion follow the commands below: a) To activate the virtual environment "Gradio_env": source Gradio_env/bin/activate b) To check the installed version of Gradio: pip show gradio c) To come out of the virtual environment: deactivate d) The location of Gradio: /home/ubuntu/Gradio_env/bin/gradio
    • To verify Gradio, follow the below steps: Open a Python3 shell by typing python3 in "Gradio_env", virtual environment. Once the Python3 shell is open, type the following commands to verify the Gradio: import gradio as gr.
    1. To verify the PyTorch installtion follow the commands below: a) To check the installed version of spacy: pip show torch
    • To verify PyTorch, follow the below steps: Open a Python3 shell by typing python3 in home directory. Once the Python3 shell is open, type the following commands to verify the PyTorch: import torch.

    • Below are the minimum external resources subscriber needs to have to use this product:

    • An Internet Connection is required in order for this product to function as expected.
    • We recommend keeping your crucial data in a custom made encrypted EBS in order to save from termination in future.

    Support

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

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