jinaai/jina-embeddings-v2-base-en · Hugging Face
huggingface.co
jinaai/jina-embeddings-v2-base-en · Hugging Face
Text embeddings are a critical piece of many pipelines, from search, to RAG, to vector databases and more. Most embedding models are BERT/Transformer-based and typically have short context lengths (e.g., 512). That’s only about two pages of text, but documents can be very long – books, legal cases, TV screenplays, code repositories, etc can be tens... See more
Long-Context Retrieval Models with Monarch Mixer
- Cohere introduced Embed v3, an advanced model for generating document embeddings, boasting top performance on a few benchmarks. It excels in matching document topics to queries and content quality, improving search applications and retrieval-augmentation generation (RAG) systems. The new version offers models with 1024 or 384 dimensions, supports o
FOD#27: "Now And Then"
1. Introduction of DeepSeek Coder
DeepSeek Coder is composed of a series of code language models, each trained from scratch on 2T tokens, with a composition of 87% code and 13% natural language in both English and Chinese. We provide various sizes of the code model, ranging from 1B to 33B versions. Each model is pre-trained on project-level code co... See more
DeepSeek Coder is composed of a series of code language models, each trained from scratch on 2T tokens, with a composition of 87% code and 13% natural language in both English and Chinese. We provide various sizes of the code model, ranging from 1B to 33B versions. Each model is pre-trained on project-level code co... See more
deepseek-ai • GitHub - deepseek-ai/DeepSeek-Coder: DeepSeek Coder: Let the Code Write Itself
Why Infinity:
Infinity provides the following features:
Infinity provides the following features:
- Deploy virtually any SentenceTransformer - deploy the model you know from SentenceTransformers
- Fast inference backends : The inference server is built on top of torch, fastembed(onnx-cpu) and CTranslate2, getting most out of your CUDA or CPU hardware.
- Dynamic batching : New embedding requests
michaelfeil • GitHub - michaelfeil/infinity: Infinity is a high-throughput, low-latency REST API for serving vector embeddings, supporting a wide range of sentence-transformer models and frameworks.
DeepSeek Coder comprises a series of code language models trained from scratch on both 87% code and 13% natural language in English and Chinese, with each model pre-trained on 2T tokens. We provide various sizes of the code model, ranging from 1B to 33B versions. Each model is pre-trained on repo-level code corpus by employing a window size of 16K ... See more
DeepSeek Coder
Open source, high-throughput, fault-tolerant vector embedding pipeline
Simple API endpoint that ingests large volumes of raw data, processes, and stores or returns the vectors quickly and reliably
Simple API endpoint that ingests large volumes of raw data, processes, and stores or returns the vectors quickly and reliably