AI 模型库

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bge-small-en-v1.5

feature-extraction
BAAI · BAAI/bge-small-en-v1.5

Model List | FAQ | Usage | Evaluation | Train | Contact | Citation | License

38,647,692 645

bge-large-en-v1.5

feature-extraction
BAAI · BAAI/bge-large-en-v1.5

Model List | FAQ | Usage | Evaluation | Train | Contact | Citation | License

15,307,823 864

bge-base-en-v1.5

feature-extraction
BAAI · BAAI/bge-base-en-v1.5

Model List | FAQ | Usage | Evaluation | Train | Contact | Citation | License

8,610,755 625

multilingual-e5-large

feature-extraction
intfloat · intfloat/multilingual-e5-large

多语言E5文本嵌入:技术报告。 王亮、杨楠、黄小龙、杨林军、Rangan Majumder、韦福如,arXiv 2024

7,220,932 1188

Qwen3-Embedding-0.6B

feature-extraction
Qwen · Qwen/Qwen3-Embedding-0.6B

The Qwen3 Embedding model series is the latest proprietary model of the Qwen family, specifically designed for text embedding and ranking tasks. Building upon the dense foundational models of the Qwen

5,778,172 1008

mxbai-embed-large-v1

feature-extraction
mixedbread-ai · mixedbread-ai/mxbai-embed-large-v1

The crispy sentence embedding family from Mixedbread.

4,425,778 795

all-MiniLM-L6-v2

feature-extraction
Xenova · Xenova/all-MiniLM-L6-v2

https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2 附带 ONNX 权重,以兼容 Transformers.js。

3,592,449 116

w2v-bert-2.0

feature-extraction
facebook · facebook/w2v-bert-2.0

我们正在开源基于Conformer的W2v-BERT 2.0语音编码器,如论文第3.2.1节所述,该编码器是我们Seamless模型的核心。

3,193,130 214

jina-embeddings-v3

feature-extraction
jinaai · jinaai/jina-embeddings-v3

jina-embeddings-v3: Multilingual Embeddings With Task LoRA

3,080,746 1140

multilingual-e5-small

feature-extraction
Xenova · Xenova/multilingual-e5-small

https://huggingface.co/intfloat/multilingual-e5-small 附带ONNX权重,以兼容Transformers.js。

2,635,316 11

bge-small-zh-v1.5

feature-extraction
BAAI · BAAI/bge-small-zh-v1.5

Model List | FAQ | Usage | Evaluation | Train | Contact | Citation | License

2,539,200 113

Qwen3-Embedding-4B

feature-extraction
Qwen · Qwen/Qwen3-Embedding-4B

The Qwen3 Embedding model series is the latest proprietary model of the Qwen family, specifically designed for text embedding and ranking tasks. Building upon the dense foundational models of the Qwen

2,076,631 262