Oscar Sainz: Finally, we released the code, verba...| Robocrunch AI

Finally, we released the code, verbalizations and pre-trained models in order to easily reproduce the results!

Models: https://t.co/yYq2chDRkB

Thanks to @huggingface for hosting the models!
— Oscar Sainz (@osainz59) May 10, 2022

For reproducibility purposes and to facilitate future experimentation, we release the benchmark on @huggingface Datasets (https://t.co/DG8zgcbwrA), while we also release the code of our experiments (https://t.co/BOBDAdmygc), which relies on 🤗 Transformers. 4/7

Shared by Ilias Chalkidis at 3/21/2022

I've also added the trained model and TensorBoard logs to the @huggingface Hub 🤗 You can check that out here: https://t.co/vw7CSAhz4n It includes the minimal code to generate punks of your own in Python using @PyTorch.

Shared by Nate Raw at 3/1/2022

We’ve also built a @huggingface organization around our experiments. The organization holds the Keras pre-trained models & spaces where you can try the visualization on your own images. https://t.co/bWzVusn9DX Contributions are welcomed :) 4/

Shared by Sayak Paul at 4/18/2022

if you have any custom model implementation, it now takes 1 line of code to have a `from_pretrained` method that loads pretrained weights from https://t.co/BW2WwWwU96 ❤️ Doc page: https://t.co/syIoDUwv0P cc @GuggerSylvain @LysandreJik 💙

Shared by Julien Chaumond at 2/22/2022

Last week the second part of the Hugging Face Course has been released🚀 👉🏻 https://t.co/KynaGomGkI We also reworked the "TensorFlow Getting Started with Amazon SageMaker" to use the new datasets utils to_tf_dataset to convert your dataset to TF🧑🏻‍💻👩🏼‍💻 👉🏻 https://t.co/i7e1DuHlux https:/

Shared by Philipp Schmid at 11/23/2021

The recently published ConvNeXt models are now available on TFHub! This is a great contribution from the GDE @RisingSayak with 30 versions of the model, ready for inference and transfer learning, with documentation and sample code. Check them out ↓

Shared by TensorFlow at 2/17/2022

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