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Allow users to use their custom tensorflow models and use them seamlessly as they would use numalogic's in-built models.
ML engineers and data scientists might want to use their own models written in tensorflow for inference.
Message from the maintainers:
If you wish to see this enhancement implemented please add a 👍 reaction to this issue! We often sort issues this way to know what to prioritize.
The text was updated successfully, but these errors were encountered:
Closing this because we plan to support only Pytorch models inside numalogic for the time being.
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Summary
Allow users to use their custom tensorflow models and use them seamlessly as they would use numalogic's in-built models.
Use Cases
ML engineers and data scientists might want to use their own models written in tensorflow for inference.
Message from the maintainers:
If you wish to see this enhancement implemented please add a 👍 reaction to this issue! We often sort issues this way to know what to prioritize.
The text was updated successfully, but these errors were encountered: