Run whisper-base.en on a cloud GPU
whisper-base.en is a Speech to text model by onnx-community. See how much GPU memory it needs, which GPUs it fits on today and what it costs to run it yourself, billed per second.
GPUs it fits on today
The model card does not list its size, so we cannot estimate its memory yet.
No GPU with enough memory is available right now. Check the catalog again later.
Live starting prices from our catalog. You pay per second while the machine runs.
How to run whisper-base.en
- 01
Rent a GPU
Pick one of the GPUs above. Billing is per second; stop the machine and you stop paying.
- 02
Open a terminal or Jupyter
Connect over SSH or open Jupyter in your browser. PyTorch and CUDA are ready to use.
- 03
Download and run the model
Run the commands below. The weights download straight from Hugging Face to your machine.
pip install -U transformers accelerate
python -c "from transformers import pipeline; p = pipeline('automatic-speech-recognition', model='onnx-community/whisper-base.en', device=0); print(p)"Why run it yourself?
Transcribe hours of audio for the cost of the GPU minutes it takes. Recordings never leave your machine.
Questions
- Do I need a subscription?
- No. You pay only for the time your machine runs, from your USD balance. Stop it whenever you are done.
Try it on your own GPU in minutes
Pick a GPU, open Jupyter or SSH and run any open model. You pay per second and can stop anytime; no subscription, no setup fee.
- Per-second billing in USD
- PyTorch and CUDA ready in minutes
- Rent from ChatGPT or Claude too