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* Tagger: use unnormalized probabilities for inference Using unnormalized softmax avoids use of the relatively expensive exp function, which can significantly speed up non-transformer models (e.g. I got a speedup of 27% on a German tagging + parsing pipeline). * Add spacy.Tagger.v2 with configurable normalization Normalization of probabilities is disabled by default to improve performance. * Update documentation, models, and tests to spacy.Tagger.v2 * Move Tagger.v1 to spacy-legacy * docs/architectures: run prettier * Unnormalized softmax is now a Softmax_v2 option * Require thinc 8.0.14 and spacy-legacy 3.0.9 |
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.. | ||
project | ||
templates | ||
__init__.py | ||
_util.py | ||
assemble.py | ||
convert.py | ||
debug_config.py | ||
debug_data.py | ||
debug_model.py | ||
download.py | ||
evaluate.py | ||
info.py | ||
init_config.py | ||
init_pipeline.py | ||
package.py | ||
pretrain.py | ||
profile.py | ||
train.py | ||
validate.py |