What will you learn? In this tutorial, you will dive into the world of Byte Pair Encoding (BPE) tokenizer in Python. Specifically, you will explore and resolve the common problem of extra whitespace being added during unmasking for BPE tokenization. By the end of this tutorial, you will have a solid understanding of how to … Read more
What will you learn? In this tutorial, you will master the art of resolving the challenge posed by an additional whitespace introduced by the Byte Pair Encoding (BPE) tokenizer during unmasking operations. Introduction to the Problem and Solution When utilizing a BPE tokenizer for tokenization tasks, encountering an unexpected whitespace during unmasking can lead to … Read more
What will you learn? In this tutorial, you will delve into troubleshooting the challenges encountered when fine-tuning a transformer model using FSDP in Python. By understanding the intricacies of resolving these issues, you will enhance your skills in working with transformer models and distributed training frameworks. Introduction to the Problem and Solution When fine-tuning transformer … Read more
Resolving AttributeError when loading en_core_web_sm in spaCy What will you learn? Learn how to troubleshoot and resolve the ‘AttributeError: module ‘transformers’ has no attribute ‘BertTokenizerFast” error that occurs when loading the en_core_web_sm model in spaCy. Introduction to the Problem and Solution When attempting to load the en_core_web_sm model in spaCy, users may come across an … Read more
What Will You Learn? Discover how to effortlessly retrieve the training loss from a callback function within the Trainer class provided by Hugging Face. Enhance your understanding of monitoring and capturing essential metrics during model training. Introduction to the Problem and Solution Delve into the world of extracting training loss while training a model using … Read more