fix typo in notebook

Author: paul-buerkner

examples/From_ABC_to_BayesFlow.ipynb

@@ -608,7 +608,7 @@
    },
    "outputs": [],
    "source": [
-    "inference_net = bf.networks.ConsistencyModel(total_stps=epochs*num_batches_per_epoch)"
+    "inference_net = bf.networks.ConsistencyModel(total_steps=epochs*num_batches_per_epoch)"
    ]
   },
   {
@@ -933,13 +933,6 @@
    "source": [
     "We have yet to fully explore the potential of amortized inference. For higher-dimensional problems, we can train a summary network jointly with the inference network, eliminating the need to manually design summary statistics as required in ABC. Additionally, the trained approximator can be seamlessly transferred to new datasets, enabling inference without retraining. Even in this simple example, we see that training the approximator required fewer simulations than running the ABC, which is particularly beneficial for computationally expensive simulators.\n"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
@@ -950,16 +943,7 @@
    "name": "python3"
   },
   "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.8"
+   "name": "python"
   }
  },
  "nbformat": 4,