Fix embedding dimensions if Dense module exists

e.g. for https://huggingface.co/aspire/acge_text_embedding

app.py

@@ -1168,12 +1168,15 @@ with open("EXTERNAL_MODEL_RESULTS.json", "w") as f:
 def get_dim_seq_size(model):
     filenames = [sib.rfilename for sib in model.siblings]
     dim, seq, size = "", "", ""
-    if "1_Pooling/config.json" in filenames:
-        st_config_path = hf_hub_download(model.modelId, filename="1_Pooling/config.json")
-        dim = json.load(open(st_config_path)).get("word_embedding_dimension", "")
-    elif "2_Pooling/config.json" in filenames:
-        st_config_path = hf_hub_download(model.modelId, filename="2_Pooling/config.json")
-        dim = json.load(open(st_config_path)).get("word_embedding_dimension", "")
+    for filename in filenames:
+        if re.match("\d+_Pooling/config.json", filename):
+            st_config_path = hf_hub_download(model.modelId, filename=filename)
+            dim = json.load(open(st_config_path)).get("word_embedding_dimension", "")
+            break
+    for filename in filenames:
+        if re.match("\d+_Dense/config.json", filename):
+            st_config_path = hf_hub_download(model.modelId, filename=filename)
+            dim = json.load(open(st_config_path)).get("out_features", dim)
     if "config.json" in filenames:
         config_path = hf_hub_download(model.modelId, filename="config.json")
         config = json.load(open(config_path))