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README.md

@@ -1,16 +1,16 @@
 ---
 tags:
 - adapterhub:af/cc100
-- adapters
 - xmod
+- adapters
 language:
 - af
 license: "mit"
 ---
 
-# Adapter `AdapterHub/xmod-base-af_ZA` for xmod_output
+# Adapter `AdapterHub/xmod-base-af_ZA` for AdapterHub/xmod-base
 
-An [adapter](https://adapterhub.ml) for the `xmod_output` model that was trained on the [af/cc100](https://adapterhub.ml/explore/af/cc100/) dataset.
+An [adapter](https://adapterhub.ml) for the `AdapterHub/xmod-base` model that was trained on the [af/cc100](https://adapterhub.ml/explore/af/cc100/) dataset.
 
 This adapter was created for usage with the **[Adapters](https://github.com/Adapter-Hub/adapters)** library.
 
@@ -27,7 +27,7 @@ Now, the adapter can be loaded and activated like this:
 ```python
 from adapters import AutoAdapterModel
 
-model = AutoAdapterModel.from_pretrained("xmod_output")
+model = AutoAdapterModel.from_pretrained("AdapterHub/xmod-base")
 adapter_name = model.load_adapter("AdapterHub/xmod-base-af_ZA", source="hf", set_active=True)
 ```
 
@@ -41,6 +41,7 @@ adapter_name = model.load_adapter("AdapterHub/xmod-base-af_ZA", source="hf", set
 
 ## Citation
 
+```
 @inproceedings{pfeiffer-etal-2022-lifting,
     title = "Lifting the Curse of Multilinguality by Pre-training Modular Transformers",
     author = "Pfeiffer, Jonas  and
@@ -58,4 +59,5 @@ adapter_name = model.load_adapter("AdapterHub/xmod-base-af_ZA", source="hf", set
     url = "https://aclanthology.org/2022.naacl-main.255",
     doi = "10.18653/v1/2022.naacl-main.255",
     pages = "3479--3495"
-}
+}
+```

adapter_config.json

@@ -33,7 +33,7 @@
   },
   "hidden_size": 768,
   "model_class": "XmodAdapterModel",
-  "model_name": "xmod_output",
+  "model_name": "AdapterHub/xmod-base",
   "model_type": "xmod",
   "name": "af_ZA",
   "version": "0.0.0"