jinaai/jina-embeddings-v2-base-en · Hugging Face

Why Infinity:

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

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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

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

Pretrained model on protein sequences using a masked language modeling (MLM) objective. It was introduced in

this paper and first released in

this repository. This model is trained on uppercase amino acids: it only works with capital letter amino acids.

Model description

ProtBert is based on Bert model which pretrained on a large corpus of protein sequ... See more