libgrammstein 0.1.0

Hybrid language model (N-gram + Embeddings) for WFST text correction

libgrammstein

There is very little structured metadata to build this page from currently. You should check the main library docs, readme, or Cargo.toml in case the author documented the features in them.

This version has 32 feature flags, 0 of them enabled by default.

default

This feature flag does not enable additional features.

acoustic

async

candle-model

cli

code

code-full

code-javascript

code-mainstream

code-neural

code-python

code-rust

google-books

gpu

http-corpus

language-full

latex

This feature flag does not enable additional features.

latex-full

latex-neural

latex-ocr

latex-rag

lling-llang-integration

loom-tests

This feature flag does not enable additional features.

mimalloc-alloc

ner

neural-rescore

ocr

pdf-extraction

rag

rag-hnsw

serde-extras

subword

wfst-export