03 Mar Hugging Face Interview Questions and Answers (MCQs)

The top Hugging Face Interview Questions and Answers are given here. The level of questions is suitable for beginner as well as advanced AI enthusiasts. These are Hugging Face Multiple Choice Questions (MCQs) with answers:

Here is your HTML code replaced with the 10 MCQs on Hugging Face:

1. What is Hugging Face primarily known for?

   a) Computer vision models
   b) Natural Language Processing (NLP) models
   c) Speech recognition models
   d) Time series forecasting models

2. Which of the following is a popular Hugging Face library?

   a) TensorFlow
   b) PyTorch
   c) Transformers
   d) Keras

3. What is the name of Hugging Face’s popular pre-trained language model?

   a) BERT
   b) RoBERTa
   c) DistilBERT
   d) All of the above

4. What is the primary function of the Hugging Face Model Hub?

   a) To train and deploy models
   b) To visualize model performance
   c) To debug model errors
   d) To share and discover pre-trained models

5. Which of the following tasks can be performed using Hugging Face’s Transformers library?

   a) Sentiment analysis
   b) Language translation
   c) Text classification
   d) All of the above

6. What is the name of Hugging Face’s popular open-source NLP library?

   a) Stanford CoreNLP
   b) spaCy
   c) NLTK
   d) Hugging Face Transformers

7. Which of the following is a benefit of using Hugging Face’s pre-trained models?

   a) Faster training times
   b) Improved model accuracy
   c) Reduced computational resources
   d) All of the above

8. ________ is a platform that allows users to deploy and share machine learning models, demos, and applications with others.

   a) Hugging Face Create
   b) Hugging Face Spaces
   c) Hugging Face Room
   d) Hugging Face Operator

9. What is the primary goal of Hugging Face’s community-driven approach?

   a) To develop proprietary models
   b) To provide commercial support
   c) To host model competitions
   d) To promote open-source collaboration

10. Which of the following tasks can be performed using Hugging Face’s Datasets library?

    a) Data loading and processing
    b) Data visualization
    c) Data augmentation
    d) All of the above

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