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Signatures to decode a base64 image and serve inference
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Perform a batch request onto a Tensorflow served model with docker
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How to deploy a tensorflow model on Heroku with tensorflow serving
How to deploy a tensorflow model on Heroku with tensorflow serving
After spending minutes or hours playing around with all the wonderful examples available for instance on the
Google AI hub, one may wants to deploy one model or another
online.
This article presents a fast, optimal and neat way of doing it with Tensorflow Serving
and Heroku.
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How to locally unit-test a contract using Chainlink VRF V2
While it is quite straightforward to use the Chainlink VRF V2 oracle, the Request & Receive Data cycle
is a bit less easy to use on a local network (e.g. a hardhat node for testing) when there is no Chainlink
node listening to the calls.
This articles aims at giving a step-by-step guide to a working solution for unit-testing a contract using the new
Chainlink VRF oracle (Chainlink actually provides an example for the VRF V1 version, see the hardhat starter kit)
How I deployed an on-chain 10k pfp project for less than 0.1 ETH
How I deployed an on-chain 10k pfp NFT project for less than 0.1 ETH
Yes, as few as 0.1 ETH or more precisely as you can see on
the etherscan contract transaction page
for as few as 0.096212736214 ETH, most of it being the contract itself (0.075760070358 ETH), i.e. all the general
decoding functions that could be embedded once for all in a library. In other words, the image part of the cost is
only about 0.02 ETH!
Of course the gas price at the time of deploying was low (approximately 20 gwei) but even with a fairly high price (say
ten times bigger) this would have resulted, for the image part, to only 0.2 ETH.