open bert in matlab

To use BERT (Bidirectional Encoder Representations from Transformers), we need to install the python library for BERT in MATLAB. We can do this by calling python from MATLAB.

Here are the steps to open BERT in MATLAB:

1. Install Python on your machine if it is not already installed.

2. Install the bert-for-tf2 python library using pip or conda.

   pip install bert-for-tf2
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3. In MATLAB, we need to add the path of the Python executable to MATLAB's environment.

   pyversion <path-to-your-python-executable>
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4. Once we have added the path of the executable, we can import the bert-for-tf2 library in MATLAB.

   bertModule = py.importlib.import_module('bert.modeling');
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5. Now, we can access the different modules and classes of the BERT model using the bertModule object. For instance, we can create an instance of the BERT model and pass input text to it as shown below.

   model = bertModule.BertModelLayer();
   inputIDs = py.list(int32([1, 2, 3, 4, 5])); % Example input IDs
   tokenType = py.list(int32([0, 0, 1, 1, 1])); % Example token types
   [outputs, pooler_output] = model(inputIDs, "token_type_ids", tokenType);
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In this example, we create an instance of the BERT model and pass input IDs (corresponding to the input text after tokenization) and token type IDs (identifying the different segments of the input text).

We use the bertModule object to access the BertModelLayer class, which represents the BERT model. We then call the BertModelLayer object with the input IDs and token type IDs to obtain the outputs and pooler outputs of the BERT model.