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全部文本生成 42 图文理解 27 句子相似度 18 完形填空 12 特征提取 12 语音识别 11 时序预测 8 图像分类 7 零样本图像分类 6 文本分类 6 语音合成 4 图像特征提取 4 文本排序 3 语音活动检测 2 翻译 2 图生文 2 多模态 2 零样本分类 1 文生图 1 目标检测 1 掩码生成 1 关键点检测 1 图像转3D 1 深度估计 1 音频分类 1

下载量收藏数最新 google ×

electra-base-discriminator

google · google/electra-base-discriminator

ELECTRA：以判别器而非生成器方式预训练文本编码器

54,079,034 299 transformers

gemma-4-31B-it

image-text-to-text

google · google/gemma-4-31B-it

Hugging Face | GitHub | Launch Blog | Documentation License: Apache 2.0 | Authors: Google DeepMind

8,965,984 2809 transformers

gemma-4-26B-A4B-it

image-text-to-text

google · google/gemma-4-26B-A4B-it

Hugging Face | GitHub | Launch Blog | Documentation License: Apache 2.0 | Authors: Google DeepMind

7,127,904 925 transformers

gemma-4-E4B-it

google · google/gemma-4-E4B-it

Hugging Face | GitHub | Launch Blog | Documentation License: Apache 2.0 | Authors: Google DeepMind

5,585,425 971 transformers

vit-base-patch16-224

image-classification

google · google/vit-base-patch16-224

Vision Transformer (ViT) model pre-trained on ImageNet-21k (14 million images, 21,843 classes) at resolution 224x224, and fine-tuned on ImageNet 2012 (1 million images, 1,000 classes) at resolution 22

4,780,326 958 transformers

gemma-4-E2B-it

google · google/gemma-4-E2B-it

Hugging Face | GitHub | Launch Blog | Documentation License: Apache 2.0 | Authors: Google DeepMind

3,396,902 597 transformers

mobilebert-uncased

google · google/mobilebert-uncased

MobileBERT：面向资源受限设备的紧凑型任务无关BERT

2,921,185 71 transformers

gemma-3-12b-it

image-text-to-text

google · google/gemma-3-12b-it

image-text-to-text

2,772,365 714 transformers

vit-base-patch16-224-in21k

image-feature-extraction

google · google/vit-base-patch16-224-in21k

Vision Transformer (ViT) model pre-trained on ImageNet-21k (14 million images, 21,843 classes) at resolution 224x224. It was introduced in the paper An Image is Worth 16x16 Words: Transformers for Ima

2,218,067 406 transformers

gemma-3-4b-it

image-text-to-text

google · google/gemma-3-4b-it

image-text-to-text

2,163,671 1322 transformers

flan-t5-base

google · google/flan-t5-base

0. TL;DR 1. Model Details 2. Usage 3. Uses 4. Bias, Risks, and Limitations 5. Training Details 6. Evaluation 7. Environmental Impact 8. Citation 9. Model Card Authors

2,082,419 1073 transformers

siglip-so400m-patch14-384

zero-shot-image-classification

google · google/siglip-so400m-patch14-384

SigLIP model pre-trained on WebLi at resolution 384x384. It was introduced in the paper Sigmoid Loss for Language Image Pre-Training by Zhai et al. and first released in this repository.

2,080,535 674 transformers