Instructions to use onnx-community/maskformer-resnet50-ade20k-full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use onnx-community/maskformer-resnet50-ade20k-full with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('image-segmentation', 'onnx-community/maskformer-resnet50-ade20k-full');
Upload folder using huggingface_hub
Browse files- config.json +0 -0
- onnx/model.onnx +3 -0
- onnx/model_bnb4.onnx +3 -0
- onnx/model_fp16.onnx +3 -0
- onnx/model_int8.onnx +3 -0
- onnx/model_q4.onnx +3 -0
- onnx/model_q4f16.onnx +3 -0
- onnx/model_quantized.onnx +3 -0
- onnx/model_uint8.onnx +3 -0
- preprocessor_config.json +26 -0
- quantize_config.json +17 -0
config.json
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onnx/model.onnx
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onnx/model_bnb4.onnx
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onnx/model_fp16.onnx
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version https://git-lfs.github.com/spec/v1
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onnx/model_int8.onnx
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version https://git-lfs.github.com/spec/v1
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size 42703525
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onnx/model_q4.onnx
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version https://git-lfs.github.com/spec/v1
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onnx/model_q4f16.onnx
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version https://git-lfs.github.com/spec/v1
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size 69330746
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onnx/model_quantized.onnx
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version https://git-lfs.github.com/spec/v1
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size 42703525
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onnx/model_uint8.onnx
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version https://git-lfs.github.com/spec/v1
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preprocessor_config.json
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{
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"do_normalize": true,
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"do_reduce_labels": true,
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"do_rescale": true,
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"do_resize": true,
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"ignore_index": 255,
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"image_mean": [
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0.485,
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0.456,
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0.406
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],
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"image_processor_type": "MaskFormerFeatureExtractor",
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"image_std": [
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0.229,
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0.224,
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0.225
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],
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"num_labels": null,
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"resample": 2,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"longest_edge": 1333,
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"shortest_edge": 800
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},
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"size_divisor": 32
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}
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quantize_config.json
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{
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"modes": [
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"fp16",
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"q8",
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"int8",
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"uint8",
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"q4",
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"q4f16",
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"bnb4"
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],
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"per_channel": true,
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"reduce_range": true,
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"block_size": null,
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"is_symmetric": true,
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"accuracy_level": null,
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"quant_type": 1
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}
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