Download models/deeplabv3-mobilevit-x-small/quant_config.json from niobures/DeepLab: direct link, hf CLI and curl.
- Browser
- Download file 790 Bytes
-
https://huggingface.co/niobures/DeepLab/resolve/main/models/deeplabv3-mobilevit-x-small/quant_config.json
- Command line
-
hf download hf://niobures/DeepLab/models/deeplabv3-mobilevit-x-small/quant_config.json
-
curl -L -o quant_config.json https://huggingface.co/niobures/DeepLab/resolve/main/models/deeplabv3-mobilevit-x-small/quant_config.json
790 Bytes
| { | |
| "per_channel": true, | |
| "reduce_range": true, | |
| "per_model_config": { | |
| "model": { | |
| "op_types": [ | |
| "GlobalAveragePool", | |
| "Gather", | |
| "Transpose", | |
| "Relu", | |
| "Sub", | |
| "Unsqueeze", | |
| "Concat", | |
| "MatMul", | |
| "Shape", | |
| "Reshape", | |
| "Add", | |
| "ReduceMean", | |
| "Resize", | |
| "Pow", | |
| "Div", | |
| "Constant", | |
| "Slice", | |
| "Softmax", | |
| "Conv", | |
| "Cast", | |
| "Mul", | |
| "Sqrt", | |
| "Sigmoid" | |
| ], | |
| "weight_type": "QUInt8" | |
| } | |
| } | |
| } |