Quiz Part II
True or False
6. The Hugging Face Tokenizers library is responsible for providing access to pretrained transformer models.
True / False
7. Prefix Tuning keeps the pretrained model frozen and adds trainable tokens to guide task-specific learning.
True / False
8. ONNXRuntime is used to fine-tune transformer models during training.
True / False
9. FastAPI is a suitable choice for building production-grade APIs for transformer models.
True / False
10. TensorFlow Lite is primarily used for optimizing transformer models for cloud deployment.
True / False
True or False
6. The Hugging Face Tokenizers library is responsible for providing access to pretrained transformer models.
True / False
7. Prefix Tuning keeps the pretrained model frozen and adds trainable tokens to guide task-specific learning.
True / False
8. ONNXRuntime is used to fine-tune transformer models during training.
True / False
9. FastAPI is a suitable choice for building production-grade APIs for transformer models.
True / False
10. TensorFlow Lite is primarily used for optimizing transformer models for cloud deployment.
True / False
True or False
6. The Hugging Face Tokenizers library is responsible for providing access to pretrained transformer models.
True / False
7. Prefix Tuning keeps the pretrained model frozen and adds trainable tokens to guide task-specific learning.
True / False
8. ONNXRuntime is used to fine-tune transformer models during training.
True / False
9. FastAPI is a suitable choice for building production-grade APIs for transformer models.
True / False
10. TensorFlow Lite is primarily used for optimizing transformer models for cloud deployment.
True / False
True or False
6. The Hugging Face Tokenizers library is responsible for providing access to pretrained transformer models.
True / False
7. Prefix Tuning keeps the pretrained model frozen and adds trainable tokens to guide task-specific learning.
True / False
8. ONNXRuntime is used to fine-tune transformer models during training.
True / False
9. FastAPI is a suitable choice for building production-grade APIs for transformer models.
True / False
10. TensorFlow Lite is primarily used for optimizing transformer models for cloud deployment.
True / False