## TorchBlocks
A PyTorch-based toolkit for natural language processing
### Requirements
- transformers>=4.1.1
- torch>=1.6.0
TorchBlocks requires Python 3.6+. We recommend installing TorchBlocks in a Linux or OSX environment.
### Installation
Recommended (because of active development):
```shell
git clone https://github.com/lonePatient/TorchBlocks.git
cd TorchBlocks
python setup.py install
```
### Tutorials
* Tutorial 1 (text classification): [task_text_classification_cola.py](https://github.com/lonePatient/TorchBlocks/blob/master/examples/task_text_classification_cola.py)
* Tutorial 2 (siamese similarity): [task_siamese_similarity_afqmc.py](https://github.com/lonePatient/TorchBlocks/blob/master/examples/task_siamese_similarity_afqmc.py)
* Tutorial 3 (sequence labeling): [task_sequence_labeling_ner_crf.py](https://github.com/lonePatient/TorchBlocks/blob/master/examples/task_sequence_labeling_ner_crf.py)
* Tutorial 4 (sentence similarity): [task_sentence_similarity_lcqmc.py](https://github.com/lonePatient/TorchBlocks/blob/master/examples/task_sentence_similarity_lcqmc.py)
* Tutorial 5 (triple similarity): [task_triple_similarity_epidemic.py](https://github.com/lonePatient/TorchBlocks/blob/master/examples/task_triple_similarity_epidemic.py)
* Example scripts for each task: [TorchBlocks/examples/](https://github.com/lonePatient/TorchBlocks/tree/master/examples)
PyPI 官网下载 | torchblocks_chen-1.0.1.2.tar.gz （103个子文件） 
setup.cfg 38B README.md 1KB PKG-INFO 2KB PKG-INFO 2KB modeling_nezha.py 61KB modeling_albert.py 54KB modeling_bert_for_theseus.py 24KB base.py 19KB lr_scheduler.py 15KB adversarial.py 11KB base.py 11KB ranger_adabelief.py 9KB adabelief.py 9KB sequence_labeling_trainer.py 9KB download_glue_data.py 8KB adafactor.py 8KB adax.py 7KB build_argparse.py 7KB kd_loss.py 7KB configuration_albert.py 7KB configuration_nezha.py 6KB classification.py 6KB model_base.py 6KB adabound.py 6KB Vocabulary.py 5KB tools.py 5KB sequence_labeling_processor.py 5KB ralars.py 5KB paths.py 5KB shampoo.py 5KB adamod.py 5KB bert_for_ner.py 4KB lamb.py 4KB lookahead.py 4KB ralamb.py 4KB adamw.py 4KB logger.py 4KB radam.py 4KB nadam.py 4KB tensor.py 4KB lars.py 4KB configuration_base.py 4KB sgdw.py 3KB model_checkpoint.py 3KB novograd.py 3KB adamp.py 3KB early_stopping.py 3KB sequence_labeling.py 3KB sgdp.py 3KB download_clue_data.py 3KB embedding.py 3KB utils.py 3KB visual.py 3KB planradam.py 3KB bert_for_relation.py 3KB utils.py 2KB bert_for_attr.py 2KB classifier_trainer.py 2KB convert_albert_original_tf_checkpoint_to_pytorch.py 2KB regression.py 2KB progressbar.py 2KB utils.py 2KB classifier_processor.py 2KB file_writer.py 2KB priorwd.py 2KB bert_with_mdp.py 2KB triple_trainer.py 2KB lstm_crf.py 2KB focal_loss.py 2KB ema.py 2KB bert_for_multilabel.py 2KB bert_for_triple.py 2KB bert_for_siamese.py 2KB utils.py 1KB span_loss.py 1KB setup.py 1KB tokenizer.py 1KB kl_divergence.py 1KB symmetric_ce.py 945B label_smoothing.py 925B triplet_loss.py 913B hard_mining.py 617B __init__.py 446B __init__.py 256B base.py 247B __init__.py 242B __init__.py 213B __init__.py 209B __init__.py 192B __init__.py 127B __init__.py 119B __init__.py 107B __init__.py 104B __init__.py 90B __init__.py 87B __init__.py 10B __init__.py 2B __init__.py 2B __init__.py 1B
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