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tokenizer = AutoTokenizer.from_pretrained('bert-base-uncased') model = AutoModel.from_pretrained('bert-base-uncased')

Here's an example using scikit-learn:

Using a library like Gensim or PyTorch, we can create a simple embedding for the text. Here's a PyTorch example:

inputs = tokenizer(text, return_tensors='pt') outputs = model(**inputs)