finalfusion-rust and finalfrontier
Finalfrontier is a training tool that generates word embedding models, while finalfusion-rust is the inference runtime that loads and uses those trained models, making them complements in a producer-consumer relationship.
About finalfusion-rust
finalfusion/finalfusion-rust
finalfusion embeddings in Rust
This crate helps Rust developers integrate and manage word embeddings within their applications. It allows you to read, write, and query different embedding formats like GloVe, word2vec, fastText, and its own finalfusion format. Developers building applications that require natural language understanding or similar text-based functionalities will find this useful for handling word vector data.
About finalfrontier
finalfusion/finalfrontier
Context-sensitive word embeddings with subwords. In Rust.
This tool helps machine learning engineers and NLP researchers create contextual word embeddings from large text datasets. It takes raw text as input and produces high-quality word embeddings in formats like word2vec, fastText, or GloVe, which can then be used in downstream NLP tasks such as sentiment analysis or machine translation. The primary users are those building and training custom NLP models.
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