🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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Updated
Jun 2, 2024 - Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
This project as built for the Northern Virginia Technology Education Initiative. A local Retrieval Augmented Generation method to complete any tasks. This specific implementation is built for accelerating email writing using previously written emails. A couple of changes and this can be suitable for any task!
《李宏毅深度学习教程》(李宏毅老师推荐👍),PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases
Transformers 3rd Edition
This repository contains demos I made with the Transformers library by HuggingFace.
🔍 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.
Generalist and Lightweight Model for Relation Extraction (Extract any relationship types from text)
This project uses BERT to build a QA system fine-tuned on the SQuAD dataset, improving the accuracy and efficiency of question-answering tasks. We address challenges in contextual understanding and ambiguity handling to enhance user experience and system performance.
This repository contains machine learning and deep learning projects from beginner to advanced, using TensorFlow and scikit-learn and other dependencices.
All NLP you Need Here. 目前包含15个NLP demo的pytorch实现(大量代码借鉴于其他开源项目,原先是自己玩的,后来干脆也开源出来)
Lay Summarization with LLM
Easy and lightning fast training of 🤗 Transformers on Habana Gaudi processor (HPU)
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
👑 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.
State of the Art Natural Language Processing
Neural Network Compression Framework for enhanced OpenVINO™ inference
Gateway into the John Snow Labs Ecosystem
My Deep Learning Projects (Classification, Segmentation, Object Detection, NLP, Deep Multiple Instance Learning)
Tokenize and convert sample text data into vectors using BERT. Load the vector representation of the text to OpenSearch and use kNN for semantic search
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