I started KerasFormers to solve a problem I kept running into: many modern models were available in Hugging Face, but using them in Keras 3, especially across TensorFlow, JAX, and PyTorch backends, often meant writing or adapting a lot of model-specific code.
What started as a small experiment grew into a library covering 60+ vision, speech, LLM, and VLM architectures, with Hugging Face to Keras weight conversion and parity validation built in.
The biggest challenge was making the implementations genuinely backend-agnostic rather than just wrapping existing PyTorch code. That meant digging into model architectures, tensor layouts, Keras 3 ops, checkpoint formats, and numerical parity.
KerasFormers is still evolving, and I’m continuing to add models, improve conversions, and make the ecosystem easier to use. I’d love feedback on what models or capabilities would be most useful next.
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About KerasFormers on Product Hunt
“Keras 3 collection of pretrained models”
KerasFormers launched on Product Hunt on August 22nd, 2026 and earned 87 upvotes and 1 comments, placing #8 on the daily leaderboard. Pretrained transformer models in pure Keras 3, runnable on JAX, PyTorch and TensorFlow.
KerasFormers was featured in Developer Tools (517.9k followers), Artificial Intelligence (476.6k followers), GitHub (41.4k followers) and Tech (630.6k followers) on Product Hunt. Together, these topics include over 390.7k products, making this a competitive space to launch in.
Who hunted KerasFormers?
KerasFormers was hunted by Gitesh Chawda. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Gitesh Chawda