Add UnitRefine to the README

README.md

@@ -8,6 +8,7 @@ license: mit
 ---
 
 ## Model description
+This model is part of the UnitRefine project and it is a direct port of [this model](https://huggingface.co/AnoushkaJain3/noise_neural_classifier_lightweight).
 The model is trained on recordings from 11 mice in the V1, SC, and ALM brain regions using Neuropixels probes.
 Each recording was labeled by at least two independent annotators, with different combinations of labelers, achieving an 80% agreement rate.
 This model utilizes a subset of metrics that are computationally efficient while maintaining robust classification performance.
@@ -22,7 +23,7 @@ This can be used to automatically identify SUA units in spike-sorted outputs. If
     from spikeinterface.curation import auto_label_units
     labels = auto_label_units(
         sorting_analyzer = sorting_analyzer,
-        repo_id = "AnoushkaJain3/noise_neural_classifier_lightweight",
+        repo_id = "SpikeInterface/UnitRefine_noise_neural_classifier_lightweight",
         trusted = ['numpy.dtype']
     )
 ```