ERNIE VS K-BERT

Compare ERNIE vs K-BERT and see what are their differences.

ERNIE

Official implementations for various pre-training models of ERNIE-family, covering topics of Language Understanding & Generation, Multimodal Understanding & Generation, and beyond. (by PaddlePaddle)

K-BERT

Source code of K-BERT (AAAI2020) (by autoliuweijie)
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ERNIE K-BERT
4 1
6,165 935
0.0% -
2.7 10.0
about 1 year ago over 1 year ago
Python Python
Apache License 2.0 -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

ERNIE

Posts with mentions or reviews of ERNIE. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-07-16.

K-BERT

Posts with mentions or reviews of K-BERT. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-07.

What are some alternatives?

When comparing ERNIE and K-BERT you can also consider the following projects:

unilm - Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

ERNIE-text-classification-pytorch - This repo contains a PyTorch implementation of a pretrained ERNIE model for text classification.

ABSA-PyTorch - Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析,使用PyTorch实现。

bertviz - BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)

transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

PaddleNLP - 👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search, ❓ Question Answering, ℹ️ Information Extraction, 📄 Document Intelligence, 💌 Sentiment Analysis etc.

clip-as-service - 🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP

BERT-pytorch - Google AI 2018 BERT pytorch implementation

haystack - :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.