Getting Started with Google BERT/

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ALBERT : Embeddings Extraction

ALBERT : Embeddings Extraction

Learn how to extract embeddings with ALBERT model.

We'll cover the following...

With Hugging Face's transformers, we can use the ALBERT model just like how we used BERT. Let's explore this with a small example.

Suppose we need to get the contextual word embedding of every word in the sentence: 'Paris is a beautiful city'. Let's see how to do that with ALBERT.

Import the necessary modules

Let's first import the necessary modules:

from transformers import AlbertTokenizer, AlbertModel

Loading the model and tokenizer

Now, we download and load the pre-trained ALBERT model and tokenizer. We'll use the ALBERT-base model:

model = AlbertModel.from_pretrained('albert-base-v2')
tokenizer = AlbertTokenizer.from_pretrained('albert-base-v2')
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