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17 search results found

Uer Py ⭐ 2,802

Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo

Tencentpretrain ⭐ 951

Tencent Pre-training framework in PyTorch & Pre-trained Model Zoo

Textgen ⭐ 842

TextGen: Implementation of Text Generation models, include LLaMA, BLOOM, GPT2, BART, T5, SongNet and so on. 文本生成模型，实现了包括LLaMA，ChatGLM，BLOOM，GPT2，Seq2Seq，BART，

Transformers Tutorials ⭐ 777

Github repo with tutorials to fine tune transformers for diff NLP tasks

MinT: Minimal Transformer Library and Tutorials

Question_generator ⭐ 157

An NLP system for generating reading comprehension questions

Text Summarization ⭐ 76

Abstractive and Extractive Text summarization using Transformers.

Awesome Llm ⭐ 53

Awesome series for Large Language Model(LLM)s

Ratransformers ⭐ 38

RATransformers 🐭- Make your transformer (like BERT, RoBERTa, GPT-2 and T5) Relation Aware!

Johnsnowlabs ⭐ 35

Gateway into the John Snow Labs Ecosystem

Model Zoo ⭐ 29

NLP model zoo for Russian

Distilkobilstm ⭐ 17

Distilling Task-Specific Knowledge from Teacher Model into BiLSTM

Bert_seq2seq_ddp ⭐ 16

bert_seq2seq的DDP版本，支持bert、roberta、nezha、t5、gpt2等模型

Text Summarizer ⭐ 16

Comparing state of the art models for text summary generation

Llm Primer ⭐ 16

A primer on large language models (LLM) as of Jan 2023, with bonus ChatGPT topic

Semeval2022 Task6 Sarcasm Detection ⭐ 11

Sarcasm is a term that refers to the use of words to mock, irritate, or amuse someone. It is commonly used on social media. The metaphorical and creative nature of sarcasm presents a significant difficulty for sentiment analysis systems based on affective computing. The technique and results of our team, UTNLP, in the SemEval-2022 shared task 6 on sarcasm detection are presented in this paper.

Lm Vocab Trimmer ⭐ 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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