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Models / whisper-base.en / whisper-base.en ~73M
Speech to text · served with ONNX Runtime · ↓ 6.5K downloads a month · View on Hugging Face
onnx-community/whisper-base.en_timestamped needs about 1.3 GB of GPU memory. It runs on one RTX A2000 from $0.07/h right now; best value: RTX 5090 at $0.73/h.
These ONNX files are an export for running in a browser (an audio encoder and a text decoder, each a version here): served as tensors, they do not make a transcript. For speech to text, pick the original model (for example openai/whisper-base), served with vLLM.
Smaller versions (8-bit, 4-bit) need less GPU memory and answer a little less precisely.
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 |
|---|---|---|---|---|
| Originalopenai/whisper-base.en | vLLM | 150 MB | 2.2 GB | $0.07/h RTX A2000 |
| Main (Xenova)Xenova/whisper-base.en | ONNX Runtime | 10 MB | 1 GB | $0.07/h RTX A2000 |
| Main (onnx-community)onnx-community/whisper-base.en | ONNX Runtime | 20 MB | 1 GB | $0.07/h RTX A2000 |
| timestamped (onnx-community)onnx-community/whisper-base.en_timestamped | ONNX Runtime | 20 MB | 1 GB | $0.07/h RTX A2000 |
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.