Instructions to use Xenova/resnet-101 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use Xenova/resnet-101 with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('image-classification', 'Xenova/resnet-101');
Download quantize_config.json from Xenova/resnet-101: direct link, hf CLI and curl.
- Browser
- Download file 377 Bytes
-
https://huggingface.co/Xenova/resnet-101/resolve/main/quantize_config.json
- Command line
-
hf download hf://Xenova/resnet-101/quantize_config.json
-
curl -L -o quantize_config.json https://huggingface.co/Xenova/resnet-101/resolve/main/quantize_config.json
377 Bytes
| { | |
| "per_channel": true, | |
| "reduce_range": true, | |
| "per_model_config": { | |
| "model": { | |
| "op_types": [ | |
| "MaxPool", | |
| "Conv", | |
| "Relu", | |
| "GlobalAveragePool", | |
| "Flatten", | |
| "Gemm", | |
| "Add" | |
| ], | |
| "weight_type": "QUInt8" | |
| } | |
| } | |
| } |