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.
In the realm of artificial intelligence, CodeLlama 13B stands as a master linguist, fluent in the intricate dialects of code. Its 13 billion parameters form a neural tapestry, weaving together human intent and machine execution. Like a sculptor coaxing life from clay, it crafts code with precision, translating whispered desires into tangible outcomes. From generating code snippets to bridging language barriers, it empowers developers to construct digital masterpieces with newfound efficiency and clarity. CodeLlama 13B heralds a future where humans and machines collaborate seamlessly, forging a harmonious symphony of creativity and innovation.
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
- Spacy on AWS: NLP superpowers in Python, ready to deploy in seconds.
- CodeLlama-13B is an open-source python libraries for AI based projects.
- spacy-llm: Integrating LLMs into structured NLP pipelines.
Details
Typical total price
$0.146/hour
Features and programs
Financing for AWS Marketplace purchases
Pricing
Instance type | Product cost/hour | EC2 cost/hour | Total/hour |
|---|---|---|---|
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 |
t3.medium | $0.10 | $0.042 | $0.142 |
t3.large | $0.10 | $0.083 | $0.183 |
t3.xlarge | $0.10 | $0.166 | $0.266 |
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
Content disclaimer
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:
- For Linux: Connect to your Linux instance via port no. 22 using SSH. Please refer this article: https://docs.thinkwithwp.com/AWSEC2/latest/UserGuide/AccessingInstancesLinux.html Sign-in credentials: Username: ubuntu
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This software does not store any sensitive customer information.
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This software does not require any type of data encryption configuration.
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Programmatic system credentials and cryptographic keys are not required for this product.
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To verify the SpaCy and spacy-llm installtion follow the commands below:
a) To see the list of directories: ls
b) To activate the virtual environment "my_env": source my_env/bin/activate
c) To check the installed version of spacy: pip show spacy
d) To check the location(/home/admin/my_env/bin/spacy) of SpaCy: which spacy
e) To check the installed version of spacy-llm: pip show spacy-llm
f) Open a Python3 shell by typing python3 in "my_env", virtual environment. Once the Python3 shell is open, type the following commands to verify the spacy: import spacy
g) To come out of the virtual environment: deactivate
- To verify the CodeLlama installtion follow the commands below:
Locate the installed CodeLlama directory using: ls To list down the files inside CodeLlama: cd codellama
- 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
Vendor 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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