Instructions to use AlexHung29629/mistral-processor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AlexHung29629/mistral-processor with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AlexHung29629/mistral-processor", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download preprocessor_config.json from AlexHung29629/mistral-processor: direct link, hf CLI and curl.
- Browser
- Download file 634 Bytes
-
https://huggingface.co/AlexHung29629/mistral-processor/resolve/f661bd98ccb00a20da0001d00e859931c4e6ea20/preprocessor_config.json
- Command line
-
hf download hf://AlexHung29629/mistral-processor@f661bd98ccb00a20da0001d00e859931c4e6ea20/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/AlexHung29629/mistral-processor/resolve/f661bd98ccb00a20da0001d00e859931c4e6ea20/preprocessor_config.json
634 Bytes
| { | |
| "crop_size": null, | |
| "data_format": "channels_first", | |
| "default_to_square": true, | |
| "device": null, | |
| "do_center_crop": null, | |
| "do_convert_rgb": true, | |
| "do_normalize": true, | |
| "do_rescale": true, | |
| "do_resize": true, | |
| "image_mean": [ | |
| 0.48145466, | |
| 0.4578275, | |
| 0.40821073 | |
| ], | |
| "image_processor_type": "PixtralImageProcessorFast", | |
| "image_std": [ | |
| 0.26862954, | |
| 0.26130258, | |
| 0.27577711 | |
| ], | |
| "input_data_format": null, | |
| "patch_size": 14, | |
| "processor_class": "PixtralProcessor", | |
| "resample": 3, | |
| "rescale_factor": 0.00392156862745098, | |
| "return_tensors": null, | |
| "size": { | |
| "longest_edge": 1540 | |
| } | |
| } | |