Forkjoin.ai conversion of
openai/whisper-large-v3 to ONNX format for edge deployment.
1import onnxruntime as ort
2
3session = ort.InferenceSession("whisper-large-v3-onnx.onnx")
1from optimum.onnxruntime import ORTModelForSequenceClassification
2model = ORTModelForSequenceClassification.from_pretrained("forkjoin-ai/whisper-large-v3-onnx")
Forkjoin.ai runs AI models at the edge -- in-browser, on-device, zero cloud cost. These converted models power real-time inference, speech recognition, and natural language capabilities.
All conversions are optimized for edge deployment within browser and mobile memory constraints.
