FastVLM-0.5B
91
3
—
by
litert-community
Language Model
OTHER
0.5B params
New
91 downloads
Early-stage
Edge AI:
Mobile
Laptop
Server
2GB+ RAM
Mobile
Laptop
Server
Quick Summary
AI model with specialized capabilities.
Device Compatibility
Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
1GB+ RAM
Code Examples
2. Inference with the LiteRT-LM APIkotlin
import com.google.ai.edge.litertlm.*
suspend fun main() {
Engine.setNativeMinLogSeverity(LogSeverity.ERROR) // hide log for TUI app
val engineConfig = EngineConfig(
modelPath = "/path/to/your/model.litertlm", // Replace with model path
backend = Backend.CPU, // Or Backend.GPU
visionBackend = Backend.GPU,
)
// See the Content class for other variants.
val multiModalMessage = Message.of(
Content.ImageFile("/path/to/image"),
Content.Text("Describe this image."),
)
Engine(engineConfig).use { engine ->
engine.initialize()
engine.createConversation().use { conversation ->
while (true) {
print("\n>>> ")
conversation.sendMessageAsync(Message.of(readln())).collect { print(it) }
}
}
}
}Deploy This Model
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