In Part 1, we discussed how to train a monolingual tokenizer and merge it with a pretrained LLM’s tokenizer to form a multilingual tokenizer. In this post, we…
In Part 1, we discussed how to train a monolingual tokenizer and merge it with a pretrained LLM’s tokenizer to form a multilingual tokenizer. In this post, we show you how to integrate the customized tokenizer into the pretrained LLM as well as how to start a continual pretraining task in NVIDIA NeMo. Please import the following libraries before starting: After…