mixedbread-ai / batchedLinks
The Batched API provides a flexible and efficient way to process multiple requests in a batch, with a primary focus on dynamic batching of inference workloads.
☆153Updated 4 months ago
Alternatives and similar repositories for batched
Users that are interested in batched are comparing it to the libraries listed below
Sorting:
- Baguetter is a flexible, efficient, and hackable search engine library implemented in Python. It's designed for quickly benchmarking, imp…☆195Updated last year
- High-Performance Engine for Multi-Vector Search☆189Updated this week
- minimal pytorch implementation of bm25 (with sparse tensors)☆104Updated last month
- Late Interaction Models Training & Retrieval☆661Updated 3 weeks ago
- ☆159Updated last year
- Generalist and Lightweight Model for Text Classification☆165Updated last week
- ☆86Updated 5 months ago
- FastFit ⚡ When LLMs are Unfit Use FastFit ⚡ Fast and Effective Text Classification with Many Classes☆214Updated 2 months ago
- Crispy reranking models by Mixedbread☆42Updated 2 months ago
- ☆210Updated 5 months ago
- ☆46Updated 4 months ago
- Notebooks for training universal 0-shot classifiers on many different tasks☆137Updated 11 months ago
- Manage scalable open LLM inference endpoints in Slurm clusters☆277Updated last year
- Datamodels for hugging face tokenizers☆86Updated last week
- Pre-train Static Word Embeddings☆92Updated 2 months ago
- NLP with Rust for Python 🦀🐍☆70Updated 6 months ago
- ☆138Updated 3 months ago
- ☆198Updated last year
- 🕹️ Performance Comparison of MLOps Engines, Frameworks, and Languages on Mainstream AI Models.☆139Updated last year
- experiments with inference on llama☆103Updated last year
- Trully flash implementation of DeBERTa disentangled attention mechanism.☆67Updated 2 months ago
- code for training & evaluating Contextual Document Embedding models☆201Updated 6 months ago
- Let's build better datasets, together!☆265Updated 11 months ago
- Python API for https://vespa.ai, the open big data serving engine☆150Updated last week
- Simple UI for debugging correlations of text embeddings☆301Updated 6 months ago
- A stable, fast and easy-to-use inference library with a focus on a sync-to-async API☆45Updated last year
- XTR/WARP (SIGIR'25) is an extremely fast and accurate retrieval engine based on Stanford's ColBERTv2/PLAID and Google DeepMind's XTR.☆173Updated 7 months ago
- Efficient vector database for hundred millions of embeddings.☆211Updated last year
- Optimus is a flexible and scalable framework built to train language models efficiently across diverse hardware configurations, including…☆67Updated 5 months ago
- Lite weight wrapper for the independent implementation of SPLADE++ models for search & retrieval pipelines. Models and Library created by…☆33Updated last year