AI BriefingHugging Face Integrates Intel OpenVINO
Key point
Intel OpenVINO has been integrated into Hugging Face's Optimum Intel, making it easier to run model inference and quantization on Intel processors.
Details
Hugging Face has integrated Intel OpenVINO into Optimum Intel, a hardware acceleration tool being developed in collaboration with Intel.
With this update, users can easily run inference on Transformer models from the Hugging Face Hub or local storage using the OpenVINO runtime across various Intel processor environments. In addition, models can be quantized via OpenVINO NNCF (Neural Network Compression Framework) to reduce model size and shorten inference latency.
Key features and supported items are as follows:
- Support for inference on large PyTorch models using OVModels (based on OpenVINO 2022.2)
- Support for post-training static quantization and quantization-aware training for major encoder models such as BERT and DistilBERT
- Quantization workflow provided for Vision Transformer (ViT) models
Quantization of encoder-decoder models is not currently supported, but the scope of support is expected to expand with future OpenVINO updates.
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