サイト内検索
AI モデル 85004
- GLM-5.3-ewaste-edition-GGUF↗
SixVolts
- mamba2-370m↗
state-spaces
- sn-xlm-roberta-base-snli-mnli-anli-xnli↗
symanto
- flint-GGUF↗
terelabs
- gte-large↗
thenlper
General Text Embeddings (GTE) model. Towards General Text Embeddings with Multi-stage Contrastive Learning The GTE models are trained by Alibaba DAMO Academy. They are mainly based on the BERT framework and currently offer three different sizes of models, including GTE-large, GTE-base, and GTE-small. The GTE models are trained on a large-scale corpus of relevance text pairs, covering a wide range of domains and scenarios. This enables the GTE models to be applied to various downstream tasks of text embeddings, including **information retrieval**, **semantic textual similarity**, **text reranking**, etc. We compared the performance of the GTE models with other popular text embedding models on the MTEB benchmark. For more detailed comparison results, please refer to the MTEB leaderboard.
- MusicFM↗
tky823
- embeddinggemma-300m↗
unsloth
**Model Page**: EmbeddingGemma * Responsible Generative AI Toolkit * EmbeddingGemma on Kaggle * EmbeddingGemma on Vertex Model Garden EmbeddingGemma is a 300M parameter, state-of-the-art for its size, open embedding model from Google, built from Gemma 3 (with T5Gemma initialization) and the same research and technology used to create Gemini models. EmbeddingGemma produces vector representations of text, making it well-suited for search and retrieval tasks, including classification, clustering, and semantic similarity search. This model was trained with data in 100+ spoken languages.
- t5_translate_en_ru_zh_small_1024↗
utrobinmv
This model represents a conventional T5 transformer in multitasking mode for translation into the required language, precisely configured for machine translation for pairs: ru-zh, zh-ru, en-zh, zh-en, en-ru, ru-en. The model can perform direct translation between any pair of Russian, Chinese or English languages. For translation into the target language, the target language identifier is specified as a prefix 'translate to :'. In this case, the source language may not be specified, in addition, the source text may be multilingual.
- Namo-Turn-Detector-v1-English↗
videosdk-live
- clipseg-rd64-refined↗
Xenova