Model Terminal
MobileNetV3-Small 100 (LAMB / IN1k)
A compact MobileNetV3-Small image-classification model (~2.55M parameters) trained on ImageNet-1k using the LAMB optimizer recipe via the timm / pytorch-image-models library. Designed for low-latency inference and as an efficient visual feature backbone on resource-constrained hardware. Source: supabase.
Value score
Not scored
Context
—
tokens
Max output
—
tokens
Price
—
Capability radar
Peer value bars
Identity
- Developer
- Hugging Face
- Openness
- —
- Modalities
- Image-classification
- Release
- —
- Knowledge cutoff
- —
- Deprecation
- —
- API docs
- —
Benchmarks
No benchmark scores yet.
Compare nearby
Pricing
- Input / 1M
- —
- Output / 1M
- —
- Speed
- —