[fix] Fix jupyter notebook links (#2704)

jupyter/load_pytorch_model.ipynb

@@ -199,8 +199,7 @@
  "\n",
  "Now, you can load any TorchScript model and run inference using it.\n",
  "\n",
- "You might also want to check out [load_mxnet_model.ipynb](https:/deepjavalibrary/djl/blob/master/jupyter/load_mxnet_model.ipynb) which demonstrates loading a local model directly instead of through the Model Zoo API.\n",
- "To optimize inference performance, you might check out [how_to_optimize_inference_performance](https:/deepjavalibrary/djl/blob/master/docs/pytorch/how_to_optimize_inference_performance.md)."
+ "You might also want to check out [load_mxnet_model.ipynb](https:/deepjavalibrary/djl/blob/master/jupyter/load_mxnet_model.ipynb) which demonstrates loading a local model directly instead of through the Model Zoo API."
  ]
  }
  ],

jupyter/paddlepaddle/face_mask_detection_paddlepaddle.ipynb

@@ -207,7 +207,7 @@
  "cell_type": "markdown",
  "metadata": {},
  "source": [
- "To run inference with this model, we need to load the model from Paddle model zoo. To load a model in DJL, you need to specify a [`Crieteria`](https://javadoc.io/doc/ai.djl/api/0.22.1/ai/djl/repository/zoo/Criteria.html). `Crieteria` is used identify where to load the model and which `Translator` should apply to it. Then, all we need to do is to get a [`Predictor`](https://javadoc.io/doc/ai.djl/api/latest/ai/djl/inference/Predictor.html) from the model and use it to do inference:"
+ "To run inference with this model, we need to load the model from Paddle model zoo. To load a model in DJL, you need to specify a [`Criteria`](https://javadoc.io/doc/ai.djl/api/0.22.1/ai/djl/repository/zoo/Criteria.html). `Criteria` is used identify where to load the model and which `Translator` should apply to it. Then, all we need to do is to get a [`Predictor`](https://javadoc.io/doc/ai.djl/api/latest/ai/djl/inference/Predictor.html) from the model and use it to do inference:"
  ]
  },
  {

jupyter/rank_classification_using_BERT_on_Amazon_Review.ipynb

@@ -129,6 +129,18 @@
  " tokens.forEach(token -> buf.put(vocab.getIndex(token)));\n",
  " buf.put(vocab.getIndex(\"[SEP]\"));\n",
  " }\n",
+ "\n",
+ " /** {@inheritDoc} */\n",
+ " @Override\n",
+ " public int dataRequired() {\n",
+ " throw new IllegalStateException(\"BertFeaturizer only support featurize, not deFeaturize\");\n",
+ " }\n",
+ "\n",
+ " /** {@inheritDoc} */\n",
+ " @Override\n",
+ " public Object deFeaturize(float[] data) {\n",
+ " throw new IllegalStateException(\"BertFeaturizer only support featurize, not deFeaturize\");\n",
+ " }\n",
  "}"
  ]
  },