Update inference.py

inference.py

@@ -29,7 +29,7 @@ clip_model = clip_model.eval()
 text_encoder = CLIP_TXT_ENCODER(clip_model).to(device)
 
 # loading the model from the repository and extracting the generator model
-model_path = hf_hub_download(repo_id = repo_id, filename = file_name)
+model_path = hf_hub_download(repo_id = repo_id, filename = file_name, token = HF_TOKEN)
 checkpoint = torch.load(model_path, map_location=torch.device(device))
 netG = NetG(64, 100, 512, 256, 3, False, clip_model).to(device)
 generator = load_model_weights(netG, checkpoint['model']['netG'], multi_gpus=False)