Statistics for topic bert
RepositoryStats tracks 640,559 Github repositories, of these 580 are tagged with the bert topic. The most common primary language for repositories using this topic is Python (389). Other languages include: Jupyter Notebook (114)
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🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
This repository contains demos I made with the Transformers library by HuggingFace.
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
EFFICIENT AND OPTIMIZED TOKENIZER ENGINE FOR LLM INFERENCE SERVING
[NeurIPS'24 Spotlight] Text2CAD: Generating Sequential CAD Designs from Beginner-to-Expert Level Text Prompts
EFFICIENT AND OPTIMIZED TOKENIZER ENGINE FOR LLM INFERENCE SERVING
This repository contains demos I made with the Transformers library by HuggingFace.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
This repository contains demos I made with the Transformers library by HuggingFace.
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
EFFICIENT AND OPTIMIZED TOKENIZER ENGINE FOR LLM INFERENCE SERVING
EFFICIENT AND OPTIMIZED TOKENIZER ENGINE FOR LLM INFERENCE SERVING
[NeurIPS'24 Spotlight] Text2CAD: Generating Sequential CAD Designs from Beginner-to-Expert Level Text Prompts
中文环境领域文本分析包，纯神经网络架构，支持EnvBert,LSTM,RNN,word2vec等模型，支持自定义模型，下游任务包括分类，回归，多选，情感分析，命名实体识别等，专题包括气候变化文本分析，环境知识图谱等。针对领域研究进行了接口的优化，一键使用模型。
Build a Large Language Model (From Scratch) book and Finetuned Models
[ICML'24 Oral] APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
This repository contains demos I made with the Transformers library by HuggingFace.
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...
EFFICIENT AND OPTIMIZED TOKENIZER ENGINE FOR LLM INFERENCE SERVING
《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
Build a Large Language Model (From Scratch) book and Finetuned Models
LettuceDetect is a hallucination detection framework for RAG applications.
[NeurIPS'24 Spotlight] Text2CAD: Generating Sequential CAD Designs from Beginner-to-Expert Level Text Prompts
🧠 This repository features an agentic, Retrieval-Augmented Generation (RAG) system powered by LangChain, FAISS, Hugging Face, and Ollama, running in Google Colab for portfolio support. It integrates ...
A flexible, adaptive classification system for dynamic text classification
Bringing BERT into modernity via both architecture changes and scaling
Go library for embedded vector search and semantic embeddings using llama.cpp
LettuceDetect is a hallucination detection framework for RAG applications.
Generalist and Lightweight Model for Relation Extraction (Extract any relationship types from text)
🤗 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.
[NeurIPS'24 Spotlight] Text2CAD: Generating Sequential CAD Designs from Beginner-to-Expert Level Text Prompts
Go library for embedded vector search and semantic embeddings using llama.cpp
pytorch를 사용하여 텍스트 전처리부터, BERT, GPT와 같은 모델의 다운스트림 태스크들을 정리한 Deep Learning NLP 저장소입니다.
Unattended Lightweight Text Classifiers with LLM Embeddings
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.