Top2Vec learns jointly embedded topic, document and word vectors.
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Updated
May 12, 2024 - Python
Top2Vec learns jointly embedded topic, document and word vectors.
A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.
Efficient Retrieval Augmentation and Generation Framework
Running Llama 2 and other Open-Source LLMs on CPU Inference Locally for Document Q&A
unified embedding model
An editing tool that uses AI to transcribe, understand content and search for anything in your footage, integrated with ChatGPT and other AI models
Distill a Small Static Model from any Sentence Transformer
Code for the NAACL 2022 long paper "DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings"
MinT: Minimal Transformer Library and Tutorials
This repository contains an easy and intuitive approach to few-shot classification using sentence-transformers or spaCy models, or zero-shot classification with Huggingface.
sentence-transformers to onnx 让sbert模型推理效率更快
Simply, faster, sentence-transformers
Open Source Text Embedding Models with OpenAI Compatible API
A convenient way to link, deduplicate, aggregate and cluster data(frames) in Python using deep learning
Sentence transformers models for SpaCy
Local-GenAI-Search is a generative search engine based on Llama 3, langchain and qdrant that answers questions based on your local files
FAQ-based Question Answering System using BERT
Semantically Structured Sentence Embeddings
Exploring Japanese SimCSE
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