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--- |
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language: python |
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tags: vae |
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license: apache-2.0 |
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datasets: Fraser/python-lines |
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--- |
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# T5-VAE-Python (flax) |
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A Transformer-VAE made using flax. |
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Try the [demo](https://huggingface.co/spaces/flax-community/t5-vae)! |
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It has been trained to interpolate on lines of Python code from the [python-lines dataset](https://huggingface.co/datasets/Fraser/python-lines). |
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Done as part of Huggingface community training ([see forum post](https://discuss.huggingface.co/t/train-a-vae-to-interpolate-on-english-sentences/7548)). |
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Builds on T5, using an autoencoder to convert it into an MMD-VAE ([more info](http://fras.uk/ml/large%20prior-free%20models/transformer-vae/2020/08/13/Transformers-as-Variational-Autoencoders.html)). |
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## How to use from the 🤗/transformers library |
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Add model repo as a submodule: |
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```bash |
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git submodule add https://github.com/Fraser-Greenlee/t5-vae-flax.git t5_vae_flax |
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``` |
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```python |
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from transformers import AutoTokenizer |
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from t5_vae_flax.src.t5_vae import FlaxT5VaeForAutoencoding |
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tokenizer = AutoTokenizer.from_pretrained("t5-base") |
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model = FlaxT5VaeForAutoencoding.from_pretrained("flax-community/t5-vae-python") |
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``` |
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## Setup |
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Run `setup_tpu_vm_venv.sh` to setup a virtual enviroment on a TPU VM for training. |
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