Instructions to use Hellfeu/echo-dia with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hellfeu/echo-dia with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Hellfeu/echo-dia", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 657 Bytes
25f92b3 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 | [model]
path = "diarizen.models.eend.model_wavlm_conformer.Model"
[model.args]
wavlm_src = "wavlm_large_s80_md"
wavlm_layer_num = 25
wavlm_feat_dim = 1024
attention_in = 256
ffn_hidden = 1024
num_head = 4
num_layer = 4
dropout = 0.1
max_speakers_per_chunk = 4
max_speakers_per_frame = 4
chunk_size = 16
use_posi = false
output_activate_function = false
selected_channel = 0
[inference.args]
seg_duration = 16
segmentation_step = 0.1
batch_size = 32
apply_median_filtering = true
[clustering.args]
method = "VBxClustering"
min_speakers = 1
max_speakers = 20
ahc_criterion = "distance"
ahc_threshold = 0.6
Fa = 0.07
Fb = 0.8
lda_dim = 128
max_iters = 20
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