Minor fixes in notebooks

README.md

@@ -161,7 +161,7 @@ Currently, adapters integrates all architectures and methods listed below:
 | Prompt Tuning | [Lester et al. (2021)](https://aclanthology.org/2021.emnlp-main.243/) | [Docs](https://docs.adapterhub.ml/methods.html#prompt-tuning) |
 | QLoRA | [Dettmers et al. (2023)](https://arxiv.org/pdf/2305.14314.pdf) | [Notebook](https://colab.research.google.com/github/Adapter-Hub/adapters/blob/main/notebooks/QLoRA_Llama_Finetuning.ipynb) |
 | ReFT | [Wu et al. (2024)](https://arxiv.org/pdf/2404.03592) | [Docs](https://docs.adapterhub.ml/methods.html#reft) |
-| Adapter Task Arithmetics | [Chronopoulou et al. (2023)](https://arxiv.org/abs/2311.09344) and [Zhang et al. (2023)](https://proceedings.neurips.cc/paper_files/paper/2023/hash/299a08ee712d4752c890938da99a77c6-Abstract-Conference.html) | [Docs](https://docs.adapterhub.ml/merging_adapters.html), [Notebook](https://colab.research.google.com/github/Adapter-Hub/adapters/blob/main/notebooks/06_Task_Arithmetics.ipynb)|
+| Adapter Task Arithmetics | [Chronopoulou et al. (2023)](https://arxiv.org/abs/2311.09344)<br> [Zhang et al. (2023)](https://proceedings.neurips.cc/paper_files/paper/2023/hash/299a08ee712d4752c890938da99a77c6-Abstract-Conference.html) | [Docs](https://docs.adapterhub.ml/merging_adapters.html), [Notebook](https://colab.research.google.com/github/Adapter-Hub/adapters/blob/main/notebooks/06_Task_Arithmetics.ipynb)|
 
 
 ## Supported Models

notebooks/01_Adapter_Training.ipynb

@@ -221,8 +221,8 @@
       "source": [
         "**Here comes the important part!**\n",
         "\n",
-        "We add a new adapter to our model by calling `add_adapter()`. We pass a name (`\"rotten_tomatoes\"`) and an adapter configuration. `\"bn_seq\"` denotes a [sequential bottleneck adapter](https://docs.adapterhub.ml/methods.html#bottleneck-adapters) configuration.\n",
-        "_Adapters_ supports a diverse range of different adapter configurations. For example, `config=\"lora\"` can be passed for training a [LoRA](https://docs.adapterhub.ml/methods.html#lora) adapter or `config=\"prefix_tuning\"` for a [prefix tuning](https://docs.adapterhub.ml/methods.html#prefix-tuning). You can find all currently supported configs [here](https://docs.adapterhub.ml/methods.html#prefix-tuning).\n",
+        "We add a new adapter to our model by calling `add_adapter()`. We pass a name (`\"rotten_tomatoes\"`) and an adapter configuration. `\"seq_bn\"` denotes a [sequential bottleneck adapter](https://docs.adapterhub.ml/methods.html#bottleneck-adapters) configuration.\n",
+        "_Adapters_ supports a diverse range of different adapter configurations. For example, `config=\"lora\"` can be passed for training a [LoRA](https://docs.adapterhub.ml/methods.html#lora) adapter, `config=\"prefix_tuning\"` for [prefix tuning](https://docs.adapterhub.ml/methods.html#prefix-tuning) or `config=\"loreft\"` for [LoReFT](https://docs.adapterhub.ml/methods.html#reft). You can find all currently supported configs [here](https://docs.adapterhub.ml/methods.html).\n",
         "\n",
         "Next, we add a binary classification head. It's convenient to give the prediction head the same name as the adapter. This allows us to activate both together in the next step. The `train_adapter()` method does two things:\n",
         "\n",
@@ -528,7 +528,6 @@
         "model.push_adapter_to_hub(\n",
         "    \"my-awesome-adapter\",\n",
         "    \"rotten_tomatoes\",\n",
-        "    adapterhub_tag=\"sentiment/rotten_tomatoes\",\n",
         "    datasets_tag=\"rotten_tomatoes\"\n",
         ")"
       ]
@@ -537,7 +536,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "This will create a repository _my-awesome-adapter_ under your username, generate a default adapter card as README.md and upload the adapter named `rotten_tomatoes` together with the adapter card to the new repository. Passing `adapterhub_tag` is required to make sure your adapter is features on [adapterhub.ml/explore](https://adapterhub.ml/explore), our Hub page. [Learn more](https://docs.adapterhub.ml/huggingface_hub.html)."
+        "This will create a repository _my-awesome-adapter_ under your username, generate a default adapter card as README.md and upload the adapter named `rotten_tomatoes` together with the adapter card to the new repository. [Learn more](https://docs.adapterhub.ml/huggingface_hub.html)."
       ]
     },
     {
@@ -567,7 +566,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.12.4"
+      "version": "3.8.10"
     },
     "widgets": {
       "application/vnd.jupyter.widget-state+json": {

notebooks/07_Complex_Adapter_Configuration.ipynb

@@ -808,7 +808,6 @@
         "model.push_adapter_to_hub(\n",
         "    \"my-awesome-adapter\",\n",
         "    \"xsum\",\n",
-        "    adapterhub_tag=\"sum/xsum\",\n",
         ")"
       ]
     },
@@ -818,7 +817,7 @@
         "id": "78jqOTrLR8HN"
       },
       "source": [
-        "This will create a repository _my-awesome-adapter_ under your username, generate a default adapter card as README.md and upload the adapter named `xsum` together with the adapter card to the new repository. Passing `adapterhub_tag` is required to make sure your adapter is features on [adapterhub.ml/explore](https://adapterhub.ml/explore), our Hub page. [Learn more](https://docs.adapterhub.ml/huggingface_hub.html)."
+        "This will create a repository _my-awesome-adapter_ under your username, generate a default adapter card as README.md and upload the adapter named `xsum` together with the adapter card to the new repository. [Learn more](https://docs.adapterhub.ml/huggingface_hub.html)."
       ]
     }
   ],