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license: mit |
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--- |
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## Model description |
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A toy model, trained on toy data generated from spikeinterface. |
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# Intended use |
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Used to try out the download features of hugging face hub. |
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# How to Get Started with the Model |
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This can be used to automatically label a sorting in spikeinterface. Provided you have a `sorting_analyzer`, it is used as follows |
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``` python |
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from huggingface_hub import hf_hub_download |
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import skops.io as skio |
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from spikeinterface.curation import auto_label_units |
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new_model_path = hf_hub_download(repo_id="chrishalcrow/toy_data_model", filename="best_model.skops") |
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pipeline = skio.load(new_model_path, trusted='numpy.dtype') |
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auto_label_units(sorting_analyzer = sorting_analyzer, pipeline = pipeline) |
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``` |
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or you can download the entire repositry to `a_folder_for_a_pipeline`, and use |
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``` python |
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from spikeinterface.curation import auto_label_units, load_pipeline |
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pipeline = load_pipeline('a_folder_for_a_pipeline') |
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auto_label_units(sorting_analyzer = sorting_analyzer, pipeline = pipeline) |
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``` |
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# Authors |
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Chris Halcrow |
