make compatible with inference pipeline

config.toml

@@ -1,6 +1,7 @@
 [model]
 path = "diarizen.models.eend.model_wavlm_conformer.Model"
 [model.args]
+wavlm_src = "wavlm_base"
 wavlm_layer_num = 13
 wavlm_feat_dim = 768
 attention_in = 256
@@ -12,4 +13,18 @@ chunk_size = 8
 use_posi = false
 output_activate_function = false
 selected_channel = 0
-max_speakers_per_chunk = 4
+
+[inference.args]
+seg_duration = 8
+segmentation_step = 0.1
+batch_size = 32
+apply_median_filtering = false 
+
+[clustering.args]
+method = "AgglomerativeClustering"
+merge_delta = 0.5
+merge_max_length = 50
+min_speakers = 2
+max_speakers = 8
+ahc_threshold = 0.7
+min_cluster_size = 30

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:367e204af207aa02a1c9038ee922e9cdb462c6dfa5b3eb10147c197d64d87378
-size 402860182
+oid sha256:9c4c4ee09ed5e5ab0982fe732e44268079fbad8adb3d69acfc4517c6448974e9
+size 402866710