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vqgan_f16_16384

Transformers
JAX
Inference Endpoints
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Pedro Cuenca commited on
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Link to VQGAN notebook through colab, use svg logo.

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@@ -32,8 +32,7 @@ Finetuning was performed in PyTorch using [taming-transformers](https://github.c
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  The checkpoint can be loaded using [Suraj Patil's implementation](https://github.com/patil-suraj/vqgan-jax) of `VQModel`.
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  * Example notebook, heavily based in work by [Suraj](https://huggingface.co/valhalla):
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- [![Colab](https://miro.medium.com/max/48/1*7oukapIBInsovpHkQB3QZg.jpeg)](https://colab.research.google.com/drive/1kdIsfz-vLHSoI_UPxpVrxQPxY2s593uH?usp=sharing/)
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  * Batch encoding using JAX `pmap`, complete example including data loading with PyTorch:
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  The checkpoint can be loaded using [Suraj Patil's implementation](https://github.com/patil-suraj/vqgan-jax) of `VQModel`.
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  * Example notebook, heavily based in work by [Suraj](https://huggingface.co/valhalla):
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+ [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/borisdayma/dalle-mini/blob/main/dev/vqgan/JAX_VQGAN_f16_16384_Reconstruction.ipynb)
 
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  * Batch encoding using JAX `pmap`, complete example including data loading with PyTorch:
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