finalfusion/finalfrontier

Context-sensitive word embeddings with subwords. In Rust.

37
/ 100
Emerging

Supports multiple training architectures (skip-gram variants, dependency-based models) with noise contrastive estimation and Hogwild! parallelization for efficient training. Embeddings export to multiple formats including the native finalfusion format, fastText, word2vec, and GloVe, with downstream quantization support via the finalfusion utilities. Integrates with the finalfusion Rust crate and Python module for inference and embedding manipulation.

No commits in the last 6 months.

Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 13 / 25
Maturity 16 / 25
Community 8 / 25

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Stars

90

Forks

5

Language

Rust

License

Last pushed

Oct 20, 2023

Monthly downloads

47

Commits (30d)

0

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