AIPAI Pentium
← Model index
image-classification

Atugil-Intelligence/Synas-Detect-1

Atugil-Intelligence/Synas-Detect-1 is a image classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

View on Hugging Face ↗Add to comparison
ParametersUnknown
Downloads2,593
Likes1
Licensemit
Librarytransformers
Hardware tierConsumer
DEPLOYMENT NOTES

What to verify before deployment

  • Confirm the exact weight format and quantization.
  • Measure memory at your intended context or image size.
  • Review model-card limitations and evaluation methodology.
  • Test latency and throughput on your target runtime.
LICENSE SIGNAL

Likely commercial-friendly

License metadata is an index signal, not legal advice. Follow the repository license and any model-specific acceptable-use terms.

Verify at the source →
RUN THIS MODEL

Choose how you want to deploy

GPU CLOUD · SIMPLE START

Rent a GPU sized for this model

Start with at least 12 GB VRAM, then measure memory and latency with your workload.

Check RunPod availability ↗Referral link. AI Pentium may earn credits or commission from qualifying new users.
GPU MARKETPLACE · PRICE SHOP

Compare marketplace GPU offers

Filter Vast.ai offers for a GPU with at least 12 GB VRAM and compare availability by region.

Compare GPUs on Vast.ai ↗Referral link. AI Pentium may earn commission from qualifying new users.
ORIGINAL SOURCE

Inspect weights and model card

Verify files, license terms, limitations and usage instructions before deploying.

View on Hugging Face ↗Source link; AI Pentium does not host model weights.
SIMILAR OPTIONS

More image-classification models

image-classification

timm/mobilenetv3_small_100.lamb_in1k

timm/mobilenetv3_small_100.lamb_in1k is a image classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 16,248,411♡ 103
Unknown8 GB+ VRAMapache-2.0
Deployment details →
image-classification

timm/efficientnet_b3.ra2_in1k

timm/efficientnet_b3.ra2_in1k is a image classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 12,216,318♡ 7
Unknown8 GB+ VRAMapache-2.0
Deployment details →
image-classification

google/vit-base-patch16-224

google/vit-base-patch16-224 is a image classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 5,480,705♡ 996
Unknown8 GB+ VRAMapache-2.0
Deployment details →
image-classification

Falconsai/nsfw_image_detection

Falconsai/nsfw_image_detection is a image classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 4,109,896♡ 1,174
Unknown8 GB+ VRAMapache-2.0
Deployment details →
image-classification

timm/resnet50.a1_in1k

timm/resnet50.a1_in1k is a image classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,921,203♡ 43
Unknown8 GB+ VRAMapache-2.0
Deployment details →
image-classification

dima806/fairface_age_image_detection

dima806/fairface_age_image_detection is a image classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 1,801,447♡ 82
Unknown8 GB+ VRAMapache-2.0
Deployment details →

Operate a GPU cloud or inference API?

Reach developers after they have selected a model and are ready to run it.

Become a platform partner