Deberta V3 Base Mnli
Forkjoin.ai conversion of cross-encoder/nli-deberta-v3-base to ONNX format for edge deployment.
Model Details
- Source Model: cross-encoder/nli-deberta-v3-base
- Format: ONNX
- Converted by: Forkjoin.ai
Usage
With ONNX Runtime
import onnxruntime as ort
session = ort.InferenceSession("deberta-v3-base-mnli-onnx.onnx")
With Transformers + Optimum
from optimum.onnxruntime import ORTModelForSequenceClassification
model = ORTModelForSequenceClassification.from_pretrained("forkjoin-ai/deberta-v3-base-mnli-onnx")
About Forkjoin.ai
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.
License
Apache 2.0 (follows upstream model license)
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Model tree for forkjoin-ai/deberta-v3-base-mnli-onnx
Base model
microsoft/deberta-v3-base Quantized
cross-encoder/nli-deberta-v3-base