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')
...