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Search results for natural language processing model compression
model-compression
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natural-language-processing
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7 search results found
Neuronblocks
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1,441
NLP DNN Toolkit - Building Your NLP DNN Models Like Playing Lego
Squeezellm
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486
SqueezeLLM: Dense-and-Sparse Quantization
Jfasttext
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215
Java interface for fastText
Bert Of Theseus
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186
⛵️The official PyTorch implementation for "BERT-of-Theseus: Compressing BERT by Progressive Module Replacing" (EMNLP 2020).
Cofipruning
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151
ACL 2022: Structured Pruning Learns Compact and Accurate Models https://arxiv.org/abs/2204.00408
Dialog Nlu
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78
Tensorflow and Keras implementation of the state of the art researches in Dialog System NLU
Ltp
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59
[KDD'22] Learned Token Pruning for Transformers
I Bert
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39
[ICML'21] I-BERT: Integer-only BERT Quantization
Efficient Bert
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31
This repository contains the code for the paper in Findings of EMNLP 2021: "EfficientBERT: Progressively Searching Multilayer Perceptron via Warm-up Knowledge Distillation".
Lgtm
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10
[ACL 2023] Code for paper “Tailoring Instructions to Student’s Learning Levels Boosts Knowledge Distillation”(https://arxiv.org/abs/2305.09651)
Lm Vocab Trimmer
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9
Vocabulary Trimming (VT) is a model compression technique, which reduces a multilingual LM vocabulary to a target language by deleting irrelevant tokens from its vocabulary. This repository contains a python-library vocabtrimmer, that remove irrelevant tokens from a multilingual LM vocabulary for the target language.
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1-7 of 7 search results
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