Could you share some insights about your tokenization approach for handling multiple languages? This model is initialized from xlm-roberta-large and continually trained on a mixture of multilingual datasets. This dataset can be directly used with our inference pipeline for evaluation or testing: Not all multilingual model usage is different though. The dataset was created by Fine-tuning: Train the model with our multilingual reasoning data. Language ISO code Datasets This tool allows you to evaluate and compare different text embedding models. 2 recently released, introducing multi-processing for CrossEncoder, multilingual NanoBEIR evaluators, similarity score outputs in mine_hard_negatives, Transformers v5 support, and more. You can select from various benchmark datasets including multilingual, domain-specific, and language-specific tests. Check out this practical guide to building multilingual applications with Hugging Face. You can click on the figures on the right to the lists of actual models and datasets. This model is case sensitive: it makes a difference between english and English. BERT multilingual base model (cased) Pretrained model on the top 104 languages with the largest Wikipedia using a masked language modeling (MLM) objective. 5 days ago · Hugging Face has released FineTranslations, a large-scale multilingual dataset containing more than 1 trillion tokens of parallel text across English and 500+ languages. This model is initialized from xlm-roberta-large and continually trained on a mixture of multilingual datasets. We validated the performance of the gte-multilingual-base model on multiple downstream tasks, including multilingual retrieval, cross-lingual retrieval, long text retrieval, and general text representation evaluation on the MTEB Leaderboard, among others. This guide will show you how to use This guide provides a practical approach to developing multilingual applications using Hugging Face Transformers, a powerful library for Natural Language Processing (NLP). Inference: Generate reasoning responses in different languages using the fine-tuned model. Browse a leaderboard comparing code generation models based on performance metrics and throughput. The end result is a multilingual reasoning model that can generate a chain-of-thought in English, Spanish, French, Italian, or German. More than a half of our dataset is dedicated to non-English languages to significantly boost the data size and enhance the feasibility of training models in multilingual scenarios. Jul 8, 2025 · We’re on a journey to advance and democratize artificial intelligence through open source and open science. This model is initialized from xlm-roberta-large and continually trained on a mixture of multilingual datasets. Currently, Kimi-K2 is recommended to run on the following inference engines: Massively Multilingual: 1811 natively supported languages Compliant Apertus is trained while respecting opt-out consent of data owners (even retrospectivey), and avoiding memorization of training data Contribute to huggingface/fineweb-2 development by creating an account on GitHub. Nov 10, 2025 · We provide a large-scale multilingual speech dataset on HuggingFace under CC-BY-4. Our model checkpoints are stored in the block-fp8 format, you can find it on Huggingface. Mar 3, 2025 · We’re on a journey to advance and democratize artificial intelligence through open source and open science. md at master · microsoft/unilm Sentence Transformers v5. It supports 100 languages from xlm-roberta, but low-resource languages may see performance degradation. The gte-multilingual-reranker-base model is the first reranker model in the GTE family of models, featuring several key attributes: High Performance: Achieves state-of-the-art (SOTA) results in multilingual retrieval tasks and multi-task representation model evaluations when compared to reranker models of similar size. Si sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2 This is a sentence-transformers model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search. sentence-transformers/paraphrase-multilingual-mpnet-base-v2 This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search. Mar 12, 2025 · We’re on a journey to advance and democratize artificial intelligence through open source and open science. It was introduced in this paper and first released in this repository. Some models, like bert-base-multilingual-uncased, can be used just like a monolingual model. Search for specific models or filter by model types to see detailed comparison results. Si Jul 8, 2025 · Hi Hugging Face team! I noticed there isn't any specific details about the tokenizer implementation for multilingual support. This tool allows you to evaluate and compare different text embedding models.

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