dleemiller/WordLlama: Things you can do with the token embeddings of an LLM
SMRTR summary
WordLlama, a compact NLP toolkit, recycles large language model parts to create efficient word embeddings, offering fast CPU performance for tasks like fuzzy-deduplication and outperforming larger models on benchmarks, all while using minimal resources and numpy-only inference.
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