nvidia
/

RE-USE

universal speech enhancement

multiple input sampling rates

language-agnostic

Model card Files Files and versions

szuweifu commited on Mar 24

Commit

efab889

·

verified ·

1 Parent(s): b1c83b6

Upload 2 files

Files changed (2) hide show

inference.py +1 -1
inference_chunk.py +1 -1

inference.py CHANGED Viewed

@@ -18,7 +18,7 @@ from utils.util import load_config, pad_or_trim_to_match
 from huggingface_hub import hf_hub_download
 RELU = nn.ReLU()
-config_path = hf_hub_download(repo_id="nvidia/RE-USE", filename="config.json", force_download=True)
 def get_filepaths(directory, file_type=None):
     file_paths = []  # List which will store all of the full filepaths.

 from huggingface_hub import hf_hub_download
 RELU = nn.ReLU()
+config_path = hf_hub_download(repo_id="nvidia/RE-USE", filename="config.json")
 def get_filepaths(directory, file_type=None):
     file_paths = []  # List which will store all of the full filepaths.

inference_chunk.py CHANGED Viewed

@@ -20,7 +20,7 @@ from huggingface_hub import hf_hub_download
 RELU = nn.ReLU()
-config_path = hf_hub_download(repo_id="nvidia/RE-USE", filename="config.json", force_download=True)
 def get_filepaths(directory, file_type=None):
     file_paths = []  # List which will store all of the full filepaths.

 RELU = nn.ReLU()
+config_path = hf_hub_download(repo_id="nvidia/RE-USE", filename="config.json")
 def get_filepaths(directory, file_type=None):
     file_paths = []  # List which will store all of the full filepaths.