Update model_hf.py

model_hf.py

@@ -6,9 +6,9 @@ import torch
 import torch.nn as nn
 import torch.nn.functional as F
 from torch import Tensor
-import fairseq
 from .config_ssl import SSLConfig
 from huggingface_hub import hf_hub_download
+from transformers import Wav2Vec2ForPreTraining
 
 ___author__ = "Hemlata Tak"
 __email__ = "tak@eurecom.fr"
@@ -21,10 +21,11 @@ __email__ = "tak@eurecom.fr"
 class SSLModel(nn.Module):
     def __init__(self,device):
         super(SSLModel, self).__init__()
-        repo_id = 'ash56/ssl-aasist'
-        fname = 'xlsr2_300m.pt'
-        cp_path = hf_hub_download(repo_id=repo_id, filename=fname)   # Change the pre-trained XLSR model path. 
-        model, cfg, task = fairseq.checkpoint_utils.load_model_ensemble_and_task([cp_path])
+        # eliminate fairseq dependency 
+        repo_id = "facebook/wav2vec2-xlsr-300m"
+        model = Wav2Vec2ForPreTraining.from_pretrained("facebook/wav2vec2-xlsr-300m")
+        # cp_path = hf_hub_download(repo_id=repo_id, filename=fname)   # Change the pre-trained XLSR model path. 
+        # model, cfg, task = fairseq.checkpoint_utils.load_model_ensemble_and_task([cp_path])
         self.model = model[0]
         self.model_device=device
         self.out_dim = 1024