Create README.md

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README.md

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+---
+language:
+- en
+pipeline_tag: tabular-classification
+tags:
+- Computational Neuroscience 
+license: mit
+---
+
+## Model description
+The model is trained on 11 mice in V1, SC, and ALM using Neuropixels on mice.
+Each recording was labeled by at least two people and in different combinations.
+The agreement amongst labelers is 80%. 
+
+# Intended use
+Used to identify noise clusters automatically in SpikeInterface.
+
+# How to Get Started with the Model
+This can be used to automatically identify noise in spike-sorted outputs. If you have a sorting_analyzer, it can be used as follows:
+
+``` python
+    from spikeinterface.curation import auto_label_units
+    labels = auto_label_units(
+        sorting_analyzer = sorting_analyzer,
+        repo_id = "AnoushkaJain3/noise_neural_classifier",
+        trusted = ['numpy.dtype']
+    )
+```
+
+# Authors
+
+Anoushka Jain and Chris Halcrow