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pice35408784b54431987c4d13c457b9cd / resnet-tiny-mnist_a14192764948180992461927
Python 0 0
一个小型的Resnet模型用于MNIST数据集。在验证集上达到了0.985的准确率。
Updated 2025-01-06 14:34:06 +08:00
pice35408784b54431987c4d13c457b9cd / vit-base-patch16-224_finetuned-kvasirv2-colonoscopy_a14192612098174976108007
0 0
基于kvasir_v2数据集微调的视觉Transformer用于结肠镜检查分类
Updated 2025-01-06 14:14:48 +08:00
pice35408784b54431987c4d13c457b9cd / Deep-Fake-Detector-Model_a14192548212502528876257
0 0
基于kvasir_v2数据集微调的视觉Transformer用于结肠镜检查分类。
Updated 2025-01-06 13:55:51 +08:00
gi111f11cb7f354a74a8c123f5b155498e / OmniAudio-2.6B_a14192430811049984385779
0 0
OmniAudio-2.6B
Updated 2025-01-06 13:44:22 +08:00
gi111f11cb7f354a74a8c123f5b155498e / HuatuoGPT-o1-8B_a14191238398210048235517
0 0
HuatuoGPT-o1-8B
Updated 2025-01-06 12:34:19 +08:00
gi111f11cb7f354a74a8c123f5b155498e / OmniVLM-968M_a14190673019269120661686
0 0
OmniVLM-968M
Updated 2025-01-06 11:03:19 +08:00
gi111f11cb7f354a74a8c123f5b155498e / EuroLLM-1.7B-Instruct_a14190642519076864182713
0 0
EuroLLM-1.7B-Instruct
Updated 2025-01-06 10:18:01 +08:00
gi111f11cb7f354a74a8c123f5b155498e / modernbert-embed-base_a14190476129333248528824
0 0
modernbert-embed-base
Updated 2025-01-06 10:12:14 +08:00
gi111f11cb7f354a74a8c123f5b155498e / Midjourney_a14190506638962688969280
0 0
Midjourney
Updated 2025-01-06 09:47:08 +08:00
system / test-restnet
0 0
dd
Updated 2025-01-06 09:25:02 +08:00
gi111f11cb7f354a74a8c123f5b155498e / Phi-3-mini-4k-instruct_a14156766570213376291248
Python 0 0
Phi-3-mini-4k-instruct
Updated 2025-01-03 18:43:11 +08:00
gi111f11cb7f354a74a8c123f5b155498e / Qwen2.5-1.5B-Instruct_a14159705464762368693702
0 0
Qwen2.5-1.5B-Instruct
Updated 2025-01-03 16:40:15 +08:00
pice35408784b54431987c4d13c457b9cd / trocr-large-printed_a14159038854590464176034
0 0
TrOCR 模型是一种编码器 - 解码器模型，由一个作为编码器的图像变换器（Transformer）和一个作为解码器的文本变换器（Transformer）组成。图像编码器是利用 BEiT 的权重进行初始化的，而文本解码器则是依据 RoBERTa 的权重进行初始化的。
Updated 2025-01-03 14:54:55 +08:00
gi111f11cb7f354a74a8c123f5b155498e / open-genmoji_a14156468221505536109268
0 0
open-genmoji
Updated 2025-01-03 11:35:24 +08:00
bw111c15cc698b4a15b9604973d1d5c474 / autotest1-resnet50
0 0
dddd
Updated 2025-01-02 20:21:51 +08:00
kif85e2a28a3854087893a059632b7dbc8ccc / testsql
0 0
sdfds
Updated 2025-01-02 20:19:43 +08:00
kif85e2a28a3854087893a059632b7dbc8ccc / resnet50-0102
0 0
单集群4.9的
Updated 2025-01-02 20:11:30 +08:00
gi111f11cb7f354a74a8c123f5b155498e / Ministral-8B-Instruct-2410_a14147272010100736320393
0 0
Ministral-8B-Instruct-2410
Updated 2025-01-02 17:54:10 +08:00
pice35408784b54431987c4d13c457b9cd / detr-resnet-101-dc5_a14147484152229888163628
0 0
检测 Transformer（DETR）模型在 COCO 2017 目标检测（含 11.8 万张带标注图像）数据集上进行了端到端训练。
Updated 2025-01-02 14:43:31 +08:00
gz94d10b8bacd5416fb19af1d2a221f1ee / neoleotest001_a14147537251987456105386
0 0
这是一个xxxxx模型
Updated 2025-01-02 14:32:24 +08:00