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bdff76dede
* `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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| .. | ||
| converters | ||
| __init__.py | ||
| _schemas.py | ||
| convert.py | ||
| debug_data.py | ||
| download.py | ||
| evaluate.py | ||
| info.py | ||
| init_model.py | ||
| link.py | ||
| package.py | ||
| pretrain.py | ||
| profile.py | ||
| train.py | ||
| validate.py | ||