Practice Transformers (by Hugging Face) (15.5.4) - Natural Language Processing (NLP)

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9 questions

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Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What does the Transformers library allow you to use?
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Consider what is needed to perform NLP without starting from scratch.
Question 2.
What does BERT stand for?
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Think about its focus on context in text.
3Question 3.
What is a significant feature of the Transformers library?
- Only supports text classification
- Allows use of pre-trained models
- Only available in Python
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Think about what makes it easier to work with NLP.
4Question 4.
BERT is primarily designed for which of the following tasks?
- True
- False
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Remember the tasks associated with BERT.
Question 5.
How can pre-trained models be adapted for different languages and contexts in NLP?
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Consider the importance of training data diversity.
Question 6.
Describe a scenario where using sequential models would be more beneficial than using Transformers.
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Think about the nature of the data being processed.

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