sentence-transformers
Text embeddings library
Provides dense vector representations for text using transformer networks
State-of-the-Art Text Embeddings
15k stars
141 watching
2k forks
Language: Python
last commit: 6 days ago
Linked from 4 awesome lists
ethicalml/awesome-production-machine-learning
separius/awesome-sentence-embedding
amrzv/awesome-colab-notebooks
theimpossibleastronaut/awesome-linguisticsRelated projects:
| Repository | Description | Stars |
|---|---|---|
 huggingface/transformers | A collection of pre-trained machine learning models for various natural language and computer vision tasks, enabling developers to fine-tune and deploy these models on their own projects. | 135,022 |
 kimiyoung/transformer-xl | Implementations of a neural network architecture for language modeling | 3,611 |
 jwieting/iclr2016 | Code for training universal paraphrastic sentence embeddings and models on semantic similarity tasks | 193 |
 codertimo/bert-pytorch | An implementation of Google's 2018 BERT model in PyTorch, allowing pre-training and fine-tuning for natural language processing tasks | 6,222 |
 maartengr/bertopic | This tool allows developers to extract and analyze topics from large text datasets using transformer-based models and topic modeling techniques. | 6,170 |
 opennmt/ctranslate2 | A high-performance library for efficient inference with Transformer models on CPUs and GPUs. | 3,404 |
 qubvel-org/segmentation_models.pytorch | A PyTorch library for building and training neural networks for image segmentation tasks. | 9,696 |
 google-research/text-to-text-transfer-transformer | Provides tools and libraries for training and fine-tuning large language models using transformer architectures | 6,170 |
| ukplab/arxiv2018-xling-sentence-embeddings | Reproducible research on cross-lingual sentence embeddings using power mean word embeddings | 185 |
 pytorch/pytorch | A Python library providing tensors and dynamic neural networks with strong GPU acceleration | 83,959 |
 adapter-hub/adapters | A unified library for parameter-efficient and modular transfer learning in NLP tasks | 2,577 |
 jadore801120/attention-is-all-you-need-pytorch | An implementation of the Transformer model in PyTorch, a deep learning framework for sequence-to-sequence tasks like language translation. | 8,868 |
 tongjilibo/bert4torch | An implementation of transformer models in PyTorch for natural language processing tasks | 1,241 |
 xiaoqijiao/coling2018 | Provides training and testing code for a CNN-based sentence embedding model | 2 |
 jsksxs360/how-to-use-transformers | A comprehensive guide to using the Transformers library for natural language processing tasks | 1,133 |