ONNX 模型库
返回模型

说明文档

这是基于 SmilingWolf 的 wd14 动漫标签器的 onnx 模型,添加了嵌入向量输出作为第二个输出。

共有 10 个模型:

名称 来源仓库 标签数量 嵌入维度 支持反向
EVA02_Large SmilingWolf/wd-eva02-large-tagger-v3 10861 1024 是
ViT_Large SmilingWolf/wd-vit-large-tagger-v3 10861 1024 是
SwinV2 SmilingWolf/wd-v1-4-swinv2-tagger-v2 9083 1024 是
ConvNext SmilingWolf/wd-v1-4-convnext-tagger-v2 9083 1024 是
ConvNextV2 SmilingWolf/wd-v1-4-convnextv2-tagger-v2 9083 1024 是
ViT SmilingWolf/wd-v1-4-vit-tagger-v2 9083 768 是
MOAT SmilingWolf/wd-v1-4-moat-tagger-v2 9083 1024 是
SwinV2_v3 SmilingWolf/wd-swinv2-tagger-v3 10861 1024 是
ConvNext_v3 SmilingWolf/wd-convnext-tagger-v3 10861 1024 是
ViT_v3 SmilingWolf/wd-vit-tagger-v3 10861 768 是

deepghs/wd14_tagger_with_embeddings

作者 deepghs

↓ 0 ♥ 17

创建时间: 2024-05-12 11:39:13+00:00

更新时间: 2025-02-09 20:05:21+00:00

在 Hugging Face 上查看

文件 (62)

.gitattributes
README.md
SmilingWolf/wd-convnext-tagger-v3/inv.npz
SmilingWolf/wd-convnext-tagger-v3/inv_best.json
SmilingWolf/wd-convnext-tagger-v3/inv_experiments.csv
SmilingWolf/wd-convnext-tagger-v3/inv_plot.png
SmilingWolf/wd-convnext-tagger-v3/model.onnx ONNX
SmilingWolf/wd-convnext-tagger-v3/tags_info.csv
SmilingWolf/wd-eva02-large-tagger-v3/inv.npz
SmilingWolf/wd-eva02-large-tagger-v3/inv_best.json
SmilingWolf/wd-eva02-large-tagger-v3/inv_experiments.csv
SmilingWolf/wd-eva02-large-tagger-v3/inv_plot.png
SmilingWolf/wd-eva02-large-tagger-v3/model.onnx ONNX
SmilingWolf/wd-eva02-large-tagger-v3/tags_info.csv
SmilingWolf/wd-swinv2-tagger-v3/inv.npz
SmilingWolf/wd-swinv2-tagger-v3/inv_best.json
SmilingWolf/wd-swinv2-tagger-v3/inv_experiments.csv
SmilingWolf/wd-swinv2-tagger-v3/inv_plot.png
SmilingWolf/wd-swinv2-tagger-v3/model.onnx ONNX
SmilingWolf/wd-swinv2-tagger-v3/tags_info.csv
SmilingWolf/wd-v1-4-convnext-tagger-v2/inv.npz
SmilingWolf/wd-v1-4-convnext-tagger-v2/inv_best.json
SmilingWolf/wd-v1-4-convnext-tagger-v2/inv_experiments.csv
SmilingWolf/wd-v1-4-convnext-tagger-v2/inv_plot.png
SmilingWolf/wd-v1-4-convnext-tagger-v2/model.onnx ONNX
SmilingWolf/wd-v1-4-convnext-tagger-v2/tags_info.csv
SmilingWolf/wd-v1-4-convnextv2-tagger-v2/inv.npz
SmilingWolf/wd-v1-4-convnextv2-tagger-v2/inv_best.json
SmilingWolf/wd-v1-4-convnextv2-tagger-v2/inv_experiments.csv
SmilingWolf/wd-v1-4-convnextv2-tagger-v2/inv_plot.png
SmilingWolf/wd-v1-4-convnextv2-tagger-v2/model.onnx ONNX
SmilingWolf/wd-v1-4-convnextv2-tagger-v2/tags_info.csv
SmilingWolf/wd-v1-4-moat-tagger-v2/inv.npz
SmilingWolf/wd-v1-4-moat-tagger-v2/inv_best.json
SmilingWolf/wd-v1-4-moat-tagger-v2/inv_experiments.csv
SmilingWolf/wd-v1-4-moat-tagger-v2/inv_plot.png
SmilingWolf/wd-v1-4-moat-tagger-v2/model.onnx ONNX
SmilingWolf/wd-v1-4-moat-tagger-v2/tags_info.csv
SmilingWolf/wd-v1-4-swinv2-tagger-v2/inv.npz
SmilingWolf/wd-v1-4-swinv2-tagger-v2/inv_best.json
SmilingWolf/wd-v1-4-swinv2-tagger-v2/inv_experiments.csv
SmilingWolf/wd-v1-4-swinv2-tagger-v2/inv_plot.png
SmilingWolf/wd-v1-4-swinv2-tagger-v2/model.onnx ONNX
SmilingWolf/wd-v1-4-swinv2-tagger-v2/tags_info.csv
SmilingWolf/wd-v1-4-vit-tagger-v2/inv.npz
SmilingWolf/wd-v1-4-vit-tagger-v2/inv_best.json
SmilingWolf/wd-v1-4-vit-tagger-v2/inv_experiments.csv
SmilingWolf/wd-v1-4-vit-tagger-v2/inv_plot.png
SmilingWolf/wd-v1-4-vit-tagger-v2/model.onnx ONNX
SmilingWolf/wd-v1-4-vit-tagger-v2/tags_info.csv
SmilingWolf/wd-vit-large-tagger-v3/inv.npz
SmilingWolf/wd-vit-large-tagger-v3/inv_best.json
SmilingWolf/wd-vit-large-tagger-v3/inv_experiments.csv
SmilingWolf/wd-vit-large-tagger-v3/inv_plot.png
SmilingWolf/wd-vit-large-tagger-v3/model.onnx ONNX
SmilingWolf/wd-vit-large-tagger-v3/tags_info.csv
SmilingWolf/wd-vit-tagger-v3/inv.npz
SmilingWolf/wd-vit-tagger-v3/inv_best.json
SmilingWolf/wd-vit-tagger-v3/inv_experiments.csv
SmilingWolf/wd-vit-tagger-v3/inv_plot.png
SmilingWolf/wd-vit-tagger-v3/model.onnx ONNX
SmilingWolf/wd-vit-tagger-v3/tags_info.csv