Push model using huggingface_hub.

README.md

@@ -1,58 +1,9 @@
 ---
-language:
-- en
-license: apache-2.0
 tags:
-- hearing loss
-- challenge
-- signal processing
-- source separation
-- audio
-- audio-to-audio
-- NonCausal
+- pytorch_model_hub_mixin
+- model_hub_mixin
 ---
 
-# Cadenza Challenge: CAD2-Task1
-
-A Noncausal separation model for the CAD2-Task2 system.
-
-This model is an ensemble of the following instruments:
-- Bassoon
-- Cello
-- Clarinet
-- Flute
-- Oboe
-- Sax
-- Viola
-- Violin
-    
-Each model is based on the ConvTasNet (Kaituo XU) with multichannel support (Alexandre Defossez). 
-* Parameters:
-  * B: 256
-  * C: 2
-  * H: 512
-  * L: 20
-  * N: 256
-  * P: 3
-  * R: 3
-  * X: 8
-  * audio_channels: 2
-  * causal: false
-  * mask_nonlinear: relu
-  * norm_type: gLN
-
-## Dataset
-The model was trained using EnsembleSet and CadenzaWoodwind datasets.
-
-## How to use
-
-```
-from dynamic_source_separator import DynamicSourceSeparator
-
-model = DynamicSourceSeparator.from_pretrained(
-    "cadenzachallenge/Dynamic_Source_Separator_Noncausal"
-).cpu()
-
-```
-
-            
+This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
+- Library: [More Information Needed]
+- Docs: [More Information Needed]

config.json

@@ -0,0 +1,3 @@
+{
+  "pre_trained_models": null
+}