Statistics for topic bert
RepositoryStats tracks 592,322 Github repositories, of these 557 are tagged with the bert topic. The most common primary language for repositories using this topic is Python (382). Other languages include: Jupyter Notebook (99)
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🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
AI 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. W...
《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
This repository contains demos I made with the Transformers library by HuggingFace.
Transformers 3rd Edition
Dataset associated with "BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation" paper
Generalist and Lightweight Model for Relation Extraction (Extract any relationship types from text)
A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.
Transformer models from BERT to GPT-4, environments from Hugging Face to OpenAI. Fine-tuning, training, and prompt engineering examples. A bonus section with ChatGPT, GPT-3.5-turbo, GPT-4, and DALL-E ...
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
AI 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. W...
《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
This repository contains demos I made with the Transformers library by HuggingFace.
Dataset associated with "BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation" paper
Generalist and Lightweight Model for Relation Extraction (Extract any relationship types from text)
Transformers 3rd Edition
[EMNLP 2022] This is the code repo for our EMNLP‘22 paper "COCO-DR: Combating Distribution Shifts in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning".
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
AI 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. W...
《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
This repository contains demos I made with the Transformers library by HuggingFace.
Generalist and Lightweight Model for Relation Extraction (Extract any relationship types from text)
AI-Generated Text Detection: A BERT-powered solution for accurately identifying AI-generated text. Seamlessly integrated, highly accurate, and user-friendly.🚀
Transformers 3rd Edition
Go library for embedded vector search and semantic embeddings using llama.cpp
Generalist and Lightweight Model for Relation Extraction (Extract any relationship types from text)
AI-powered universal search for all your personal data, tailored just for you. Goal:The world's first product with "edge-side LLMs + consumer data localization" as its core development direction.
A complete overview and insights into AI-Text detection :seedling: using the powerful BERT(Bi-directional encoder representation transformer) to predict if a text is AI-generated :sunflower: or Human-...
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
AI 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. W...
《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
This repository contains demos I made with the Transformers library by HuggingFace.
Go library for embedded vector search and semantic embeddings using llama.cpp
LLM-PowerHouse: Unleash LLMs' potential through curated tutorials, best practices, and ready-to-use code for custom training and inferencing.
AI-Generated Text Detection: A BERT-powered solution for accurately identifying AI-generated text. Seamlessly integrated, highly accurate, and user-friendly.🚀
EMNLP 2023 Papers: Explore cutting-edge research from EMNLP 2023, the premier conference for advancing empirical methods in natural language processing. Stay updated on the latest in machine learning,...
Use Large Language Models like OpenAI's GPT-3.5 for data annotation and model enhancement. This framework combines human expertise with LLMs, employs Iterative Active Learning for continuous improveme...