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* `debug-data`: determine coverage of provided vectors * `evaluate`: support `blank:lg` model to make it possible to just evaluate tokenization * `init-model`: add option to truncate vectors to N most frequent vectors from word2vec file * `train`: * if training on GPU, only run evaluation/timing on CPU in the first iteration * if training is aborted, exit with a non-0 exit status |
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api | ||
images | ||
models | ||
usage | ||
index.md | ||
styleguide.md |