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Fixed nnx examples bad links in the README.md #4282

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copybara-service merged 1 commit into from
Oct 22, 2024
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Fixed nnx examples bad links in the README.md #4282

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10 changes: 5 additions & 5 deletions flax/nnx/README.md
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Expand Up @@ -64,10 +64,10 @@ pip install git+https://github.com/google/flax.git

### Examples

* [LM1B](https://github.com/google/flax/tree/main/flax/nnx/examples/lm1b): A language model trained on the 1 Billion Word Benchmark dataset.
* [LM1B](https://github.com/google/flax/tree/main/examples/lm1b_nnx): A language model trained on the 1 Billion Word Benchmark dataset.

#### Toy Examples
* [Basic Example](https://github.com/google/flax/tree/main/flax/nnx/examples/toy_examples/02_lifted_transforms.py): Shows how to train a simple model using NNX.
* [Using the Functional API](https://github.com/google/flax/tree/main/flax/nnx/examples/toy_examples/01_functional_api.py): Shows how to train a simple model using the functional API.
* [Training a VAE](https://github.com/google/flax/tree/main/flax/nnx/examples/toy_examples/05_vae.py): Shows how to train a VAE on the binarized MNIST dataset.
* [Scan over layers](https://github.com/google/flax/tree/main/flax/nnx/examples/toy_examples/06_scan_over_layers.py): An contrived example that implements scan over layers with dropout and a share BatcNorm layer to showcase how lifted transforms can be implemented. It uses the functional API along with `jax.vmap` and `jax.lax.scan`.
* [Basic Example](https://github.com/google/flax/tree/main/examples/nnx_toy_examples/02_lifted_transforms.py): Shows how to train a simple model using NNX.
* [Using the Functional API](https://github.com/google/flax/tree/main/examples/nnx_toy_examples/01_functional_api.py): Shows how to train a simple model using the functional API.
* [Training a VAE](https://github.com/google/flax/tree/main/examples/nnx_toy_examples/05_vae.py): Shows how to train a VAE on the binarized MNIST dataset.
* [Scan over layers](https://github.com/google/flax/tree/main/examples/nnx_toy_examples/06_scan_over_layers.py): An contrived example that implements scan over layers with dropout and a share BatcNorm layer to showcase how lifted transforms can be implemented. It uses the functional API along with `jax.vmap` and `jax.lax.scan`.
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