Download int8/.metadata.yaml from Renesas/DeepLabV3Plus-R50-ONNX: direct link, hf CLI and curl.
- Browser
- Download file 478 Bytes
-
https://huggingface.co/Renesas/DeepLabV3Plus-R50-ONNX/resolve/cd88c8d085d63d40d1a073fafb39b551eda71fb3/int8/.metadata.yaml
- Command line
-
hf download hf://Renesas/DeepLabV3Plus-R50-ONNX@cd88c8d085d63d40d1a073fafb39b551eda71fb3/int8/.metadata.yaml
-
curl -L -o .metadata.yaml https://huggingface.co/Renesas/DeepLabV3Plus-R50-ONNX/resolve/cd88c8d085d63d40d1a073fafb39b551eda71fb3/int8/.metadata.yaml
478 Bytes
| variant: | |
| id: onnx_int8 | |
| format: onnx | |
| precision: int8 # INT8 quantized — auto-cast by NPU execution provider at runtime | |
| method: onnx_export # base model exported to ONNX; quantization applied by runtime | |
| quantization: | |
| datatype: int8 | |
| scope: | |
| - weights | |
| - activations | |
| granularity: per-tensor # typical for runtime-cast INT8 | |
| calibration: ptq # post-training quantization applied by the NPU EP / MWMX toolchain | |
| toolchain: onnx | |