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ALBERT : Embeddings Extraction

ALBERT : Embeddings Extraction

Learn how to extract embeddings with ALBERT model.

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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