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Add links to colabs.

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David Ding
2021-08-03 12:14:05 +01:00
committed by alimuldal
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@@ -51,14 +51,18 @@ Our colabs and training script assume that you are running from the
### Colabs
We provide the following colabs:
* colabs/masked_language_modelling.ipynb: Colab for running a pre-trained
* [colabs/masked_language_modelling.ipynb](https://colab.research.google.com/github/deepmind/deepmind_research/blob/master/perceiver/colabs/masked_language_modelling.ipynb):
Colab for running a pre-trained
Perceiver IO masked-language model (Section 4.1 in [2]).
* colabs/optical_flow.ipynb: Colab for running a pre-trained optical flow
* [colabs/optical_flow.ipynb](https://colab.research.google.com/github/deepmind/deepmind_research/blob/master/perceiver/colabs/optical_flow.ipynb):
Colab for running a pre-trained optical flow
Perceiver IO model and visualizing the output flow (Section 4.2 in [2]).
* colabs/video_autoencoding.ipynb: Colab for running a pre-trained
* [colabs/video_autoencoding.ipynb](https://colab.research.google.com/github/deepmind/deepmind_research/blob/master/perceiver/colabs/video_autoencoding.ipynb):
Colab for running a pre-trained
video autoencoding Perceiver IO model and visualizing video reconstructions
(Section 4.3 in [2]).
* colabs/imagenet_classification.ipynb: Colab for running three pre-trained
* [colabs/imagenet_classification.ipynb](https://colab.research.google.com/github/deepmind/deepmind_research/blob/master/perceiver/colabs/imagenet_classification.ipynb):
Colab for running three pre-trained
ImageNet classification Perceiver IO models (Section 4.5 in [2]).
### Training scripts