Instructions to use thejagstudio/portfolio-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use thejagstudio/portfolio-models with Transformers.js:
// ⚠️ Unknown pipeline tag
Add sd-turbo-webgpu-q4, nanodiffuse-q8, whisper-tiny-timestamped, whisper-base-timestamped, distilbert-sst2, distilbert-go-emotions, distilbert-ner, rtdetr-v2-r18, depth-anything-v2-small, slimsam-77, magenta-style, pp-ocrv5
139ea68 verified Download slimsam-77/preprocessor_config.json from thejagstudio/portfolio-models: direct link, hf CLI and curl.
- Browser
- Download file 466 Bytes
-
https://huggingface.co/thejagstudio/portfolio-models/resolve/main/slimsam-77/preprocessor_config.json
- Command line
-
hf download hf://thejagstudio/portfolio-models/slimsam-77/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/thejagstudio/portfolio-models/resolve/main/slimsam-77/preprocessor_config.json
466 Bytes
| { | |
| "do_convert_rgb": true, | |
| "do_normalize": true, | |
| "do_pad": true, | |
| "do_rescale": true, | |
| "do_resize": true, | |
| "image_mean": [ | |
| 0.485, | |
| 0.456, | |
| 0.406 | |
| ], | |
| "image_processor_type": "SamImageProcessor", | |
| "image_std": [ | |
| 0.229, | |
| 0.224, | |
| 0.225 | |
| ], | |
| "pad_size": { | |
| "height": 1024, | |
| "width": 1024 | |
| }, | |
| "processor_class": "SamProcessor", | |
| "resample": 2, | |
| "rescale_factor": 0.00392156862745098, | |
| "size": { | |
| "longest_edge": 1024 | |
| } | |
| } | |