adapters VS siamese-nn-semantic-text-similarity

What are some alternatives?

haystack - :mag: 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.

TrAVis - TrAVis: Visualise BERT attention in your browser

clip-as-service - 🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP

transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

nncf - Neural Network Compression Framework for enhanced OpenVINO™ inference

JointBERT - Pytorch implementation of JointBERT: "BERT for Joint Intent Classification and Slot Filling"

llmware - Providing enterprise-grade LLM-based development framework, tools, and fine-tuned models.

bertviz - BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)

RWKV-LM - RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.

trankit - Trankit is a Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing