Nicolas-BZRD / EuroBERTLinks
Optimus is a flexible and scalable framework built to train language models efficiently across diverse hardware configurations, including CPU, AMD, and NVIDIA GPUs.
☆56Updated 2 months ago
Alternatives and similar repositories for EuroBERT
Users that are interested in EuroBERT are comparing it to the libraries listed below
Sorting:
- The Batched API provides a flexible and efficient way to process multiple requests in a batch, with a primary focus on dynamic batching o…☆137Updated last month
- Pre-train Static Word Embeddings☆79Updated 3 weeks ago
- NLP with Rust for Python 🦀🐍☆62Updated last month
- Trully flash implementation of DeBERTa disentangled attention mechanism.☆58Updated last month
- ☆47Updated 4 months ago
- Python API for https://vespa.ai, the open big data serving engine☆127Updated this week
- ☆60Updated this week
- ☆48Updated 4 months ago
- 🕹️ Performance Comparison of MLOps Engines, Frameworks, and Languages on Mainstream AI Models.☆137Updated 10 months ago
- ☆56Updated 2 weeks ago
- High-Performance Engine for Multi-Vector Search☆105Updated 2 weeks ago
- Efficient few-shot learning with cross-encoders.☆52Updated 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.☆131Updated last month
- ☆124Updated 2 months ago
- Let's build better datasets, together!☆259Updated 6 months ago
- An introduction to LLM Sampling☆78Updated 6 months ago
- minimal pytorch implementation of bm25 (with sparse tensors)☆101Updated last year
- Baguetter is a flexible, efficient, and hackable search engine library implemented in Python. It's designed for quickly benchmarking, imp…☆180Updated 9 months ago
- experiments with inference on llama☆104Updated last year
- Efficiently find the best-suited language model (LM) for your NLP task☆124Updated 2 weeks ago
- ☆124Updated 7 months ago
- Manage scalable open LLM inference endpoints in Slurm clusters☆260Updated 11 months ago
- Using open source LLMs to build synthetic datasets for direct preference optimization☆64Updated last year
- Simple replication of [ColBERT-v1](https://arxiv.org/abs/2004.12832).☆80Updated last year
- Fine-tune ModernBERT on a large Dataset with Custom Tokenizer Training☆65Updated 4 months ago
- Set of scripts to finetune LLMs☆37Updated last year
- Python library to use Pleias-RAG models☆57Updated last month
- ☆38Updated last month
- Code for the MTEB Arena☆20Updated 9 months ago
- FastFit ⚡ When LLMs are Unfit Use FastFit ⚡ Fast and Effective Text Classification with Many Classes☆207Updated last month