Upload T5/generate-dict-embeddingsT5.py with huggingface_hub

T5/generate-dict-embeddingsT5.py

@@ -56,7 +56,7 @@ all_embeddings = []
 
 for word in tokendict:
     emb = embed_from_text(word)
-    #emb=emb.unsqueeze(0) # stupid matrix magic to make torch.cat work
+    emb=emb.unsqueeze(0) # stupid matrix magic to make torch.cat work
     all_embeddings.append(emb)
     count+=1
     if (count %100) ==0: