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Models / CodeBERTa-small / CodeBERTa-small ~83M
Embeddings · served with Text Embeddings Inference · ↓ 144 downloads a month · View on Hugging Face
buelfhood/CodeBERTa-small-v1-ST needs about 1.7 GB of GPU memory. It runs on one GTX 1660 SUPER from $0.07/h right now; best value: RTX 5090 at $0.61/h.
The same model packaged differently: a quantized version needs less GPU memory and runs on a cheaper machine.
| Version | Runtime | Weights | GPU memory | Cheapest machine now |
|---|---|---|---|---|
| programming language identification (philomath-1209)philomath-1209/programming-language-identification | vLLM | 170 MB | 1.7 GB | $0.09/h RTX 3060 |
| ST (buelfhood)buelfhood/CodeBERTa-small-v1-ST | Text Embeddings Inference | 170 MB | 1.7 GB | $0.08/h GTX 1660 SUPER |
Deploying ONNX models from the catalog is coming soon. Today, download the files from Hugging Face and upload them in Inference.
Prices are per hour for the whole machine and its disk, right now. Speed is Vast's DLPerf score of the machine, relative to the cheapest. Best value: the most speed per dollar. Only machines with a Vast reliability above 95% that download at 400 Mbit/s or more are offered: the machine fetches the model itself.