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README.md

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-## UNDER CONSTRUCTION 🚧🚧🚧
-
-
 This space hosts pre-trained models used for electrophysiology analysis and spike sorting through the [SpikeInterface](https://spikeinterface.readthedocs.io/en/latest/) Python package.
 
-The collection of pre-trained models can include:
-
-- models for Deep Learning based denoising, like [DeepInterpolation](https://www.nature.com/articles/s41592-021-01285-2)
+Examples of models that can be part of this repo are:
 - models for curation of spike sorting results, e.g., built on quality metrics
+- models for Deep Learning based denoising, like [DeepInterpolation](https://www.nature.com/articles/s41592-021-01285-2)
 - models used internally by spike sorting algorithms, such as Neural Network-based waveform denoising (as in [YASS](https://www.biorxiv.org/content/10.1101/2020.03.18.997924v1))
 
+## Available models
+
+### [Curation models](https://huggingface.co/collections/SpikeInterface/curation-models-66ebf53d7f17088991062c2c)
+
+Models to automatically curate spike sorting outputs through the `spikeinterface.curation.auto_label_units` function.
+
+
 
 ### Contacts
 
-For questions, please contact [Heberto Mayorquin](h.mayorquin@gmail.com) or [Alessio Buccino](alessio.buccino@alleninstitute.org)
+For questions, please contact [Chris Halcrow](chalcrow@ed.ac.uk), [Heberto Mayorquin](h.mayorquin@gmail.com), or [Alessio Buccino](alessio.buccino@alleninstitute.org)