Upload folder using huggingface_hub

text_encoder.py

@@ -420,7 +420,7 @@ class LoraT5Embedder(torch.nn.Module):
 
         print(f"Gradient checkpointing enabled: {self.use_gradient_checkpointing}")
 
-        image_encoder_path = './clip-vit-large-patch14'
+        image_encoder_path = 'openai/clip-vit-large-patch14'
         self.image_encoder = CLIPVisionModelWithProjection.from_pretrained(
             image_encoder_path
         ).to(device=device).to(torch.bfloat16)