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facebook开源的pytext源码。PyText is a deep-learning based NLP modeling framework built on PyTorch. PyText addresses the often-conflicting requirements of enabling rapid experimentation and of serving models at scale. It achieves this by providing simple and extensible interfaces and abstractions for model components, and by using PyTorch’s capabilities of exporting models for inference via the optimized Caffe2 execution engine. We are using PyText in Facebook to iterate quickly on new modeling ideas and then seamlessly ship them at scale.
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pytext-0.3.1.zip (420个子文件)
activation_venv 178B
activation_venv.bat 340B
install_deps.bat 195B
gpt2_vocab.bpe 62B
test_embed_xlu.cached 1KB
test_embed.cached 663B
.coveragerc 69B
server.cpp 8KB
Dockerfile 2KB
dummy_pretrained_embedding_dim4 90B
test_tiny.en 383B
.gitignore 410B
pytest.ini 67B
install_deps 422B
squad_tiny.json 74KB
v16.json 4KB
v2.json 3KB
v3.json 3KB
v15.json 2KB
atis_joint_config.json 2KB
test_music_samples.json 2KB
multitask_sst_lm.json 2KB
v1.json 1KB
rnng.json 1KB
seqnn.json 936B
my_config.json 785B
v8.json 784B
v4.json 750B
v6.json 679B
docnn.json 659B
lm.json 600B
docnn_dense_feat.json 478B
new_joint.json 470B
word_tagging.json 452B
distributed_docnn.json 423B
gpt2_encoder.json 30B
LICENSE 1KB
Makefile 709B
Makefile 450B
CHANGELOG.md 15KB
README.md 4KB
CODE_OF_CONDUCT.md 3KB
CONTRIBUTING.md 2KB
PULL_REQUEST_TEMPLATE.md 1KB
ISSUE_TEMPLATE.md 276B
sentencepiece.model 247KB
pytext.odg 15KB
tb_train_metrics.png 442KB
tb_graph.png 280KB
ios_demo.png 214KB
tb_test_metrics.png 179KB
pytext_design.png 67KB
pytext.png 43KB
flask_www.png 14KB
pretrained_embed_raw 475B
tensorizers.py 57KB
tensorizers_test.py 38KB
__init__.py 34KB
data_handler.py 31KB
fp16_optimizer.py 30KB
text_model_exporter_test.py 30KB
trainer.py 26KB
rnng_parser.py 26KB
config_adapter.py 24KB
test_swa.py 23KB
annotation.py 21KB
augmented_lstm.py 21KB
fp16optimizer_test.py 20KB
loss.py 20KB
intent_slot_metrics_test.py 19KB
scheduler.py 19KB
intent_slot_metrics.py 18KB
doc_model.py 18KB
model.py 17KB
main.py 16KB
bert_tensorizer.py 15KB
squad_metric_reporter.py 14KB
data.py 14KB
data_source.py 13KB
swa.py 13KB
workflow.py 12KB
pair_classification_model.py 12KB
crf.py 12KB
sparsifier.py 12KB
word_tagging_output_layer.py 12KB
tsv.py 12KB
utils.py 12KB
channel.py 11KB
squad_for_bert_tensorizer.py 11KB
serialize.py 11KB
squad.py 11KB
new_task.py 11KB
squad_tensorizer.py 11KB
squad_output_layer.py 11KB
field.py 11KB
metric_reporter.py 10KB
make_config_docs.py 10KB
exporter.py 10KB
deepcnn.py 10KB
language_model_metric_reporter.py 10KB
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