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[Query] Implementing Models
See original GitHub issueIs the KerasNLP team also looking to implement entire models or are we restricting ourselves to building blocks?
For example, if we take FNet, we currently have its encoder block in KerasNLP. So, will we stack these encoder blocks and implement the entire FNet model in keras_nlp.models, and at the same time, will we upload pretrained models weights to TFHub? Or will we leave that to the main TensorFlow repository (since many models are already present in the TF Model Garden)?
Thanks!
Issue Analytics
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- Created a year ago
- Comments:6 (2 by maintainers)
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@abheesht17 Sorry we won’t provide any feedback on GSoC proposals at this time.
This is actively under discussion. We definitely do want a way to use our components here in pretrained models, but that may not be done in this repo. So for now at least, the correct mental model for keras-nlp is a library of components, not models.
We will definitely be giving more guidance here going forward.