small fixes to documentation

specifically for "Using models from OpenSoundscape <0.11.0"

docs/tutorials/predict_with_cnn.ipynb

@@ -1851,7 +1851,7 @@
     "\n",
     "2. Save the model's weights like this: \n",
     "```\n",
-    "torch.save({'weights':model.network.state_dict(),'my_weights.pt'})\n",
+    "torch.save({'weights':model.network.state_dict()},'my_weights.pt')\n",
     "```\n",
     "\n",
     "\n",
@@ -1869,7 +1869,9 @@
     "\n",
     "#### Changes to default preprocessing behavior across OpenSoundscape versions\n",
     "Be aware of changes to default preprocessing settings between OpenSoundscape versions. In particular: \n",
+    "\n",
     "- opensoundscape<0.7.0 used the opposite sign convention in preprocessed tensor samples: loud sounds were low values and quiet sounds were high values. Specify `model.preprocessor.pipeline.to_tensor.set(invert=True)` to match the default preprocessor behavior of opensoundscape<0.7.0\n",
+    "\n",
     "- opensoundscape<0.11.0 used skimage interpolation by default in Spectrogram.to_tensor(which is used in the SpectrogramPreprocessor.pipeline.to_tensor action), while newer version use pytorch interpolation by default (much faster). The differences in interpolation methods are subtle but lead to slightly different ML model scores. Specify `model.preprocessor.pipeline.to_tensor.set(use_skimage=True)` to match the default preprocessor behavior of opensoundscape<0.11.0. \n",
     "\n",
     "If you need assistance loading a model developed in a different OpenSoundscape version into a more recent version, please contact one of the developers of OpenSoundscape. "