relax FE checking as quick fix

src/submission/submit.py

@@ -44,15 +44,15 @@ def add_new_eval(
         revision = "main"
 
     # Is the model on the hub?
-    if weight_type in ["Delta", "Adapter"]:
-        base_model_on_hub, error, _ = is_model_on_hub(model_name=base_model, revision=revision, token=TOKEN, test_tokenizer=True)
-        if not base_model_on_hub:
-            return styled_error(f'Base model "{base_model}" {error}')
-
-    if not weight_type == "Adapter":
-        model_on_hub, error, _ = is_model_on_hub(model_name=model, revision=revision, token=TOKEN, test_tokenizer=True)
-        if not model_on_hub:
-            return styled_error(f'Model "{model}" {error}')
+    # if weight_type in ["Delta", "Adapter"]:
+    #     base_model_on_hub, error, _ = is_model_on_hub(model_name=base_model, revision=revision, token=TOKEN, test_tokenizer=True)
+    #     if not base_model_on_hub:
+    #         return styled_error(f'Base model "{base_model}" {error}')
+
+    # if not weight_type == "Adapter":
+    #     model_on_hub, error, _ = is_model_on_hub(model_name=model, revision=revision, token=TOKEN, test_tokenizer=True)
+    #     if not model_on_hub:
+    #         return styled_error(f'Model "{model}" {error}')
 
     # Is the model info correctly filled?
     try: