Instructions to use Raghavan/beit3_base_patch16_224_in1k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Raghavan/beit3_base_patch16_224_in1k with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import Beit3ForImageClassification model = Beit3ForImageClassification.from_pretrained("Raghavan/beit3_base_patch16_224_in1k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download preprocessor_config.json from Raghavan/beit3_base_patch16_224_in1k: direct link, hf CLI and curl.
- Browser
- Download file 481 Bytes
-
https://huggingface.co/Raghavan/beit3_base_patch16_224_in1k/resolve/refs%2Fpr%2F1/preprocessor_config.json
- Command line
-
hf download hf://Raghavan/beit3_base_patch16_224_in1k@refs/pr/1/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/Raghavan/beit3_base_patch16_224_in1k/resolve/refs%2Fpr%2F1/preprocessor_config.json
481 Bytes
| { | |
| "crop_size": { | |
| "height": 224, | |
| "width": 224 | |
| }, | |
| "do_center_crop": false, | |
| "do_normalize": true, | |
| "do_reduce_labels": false, | |
| "do_rescale": true, | |
| "do_resize": true, | |
| "image_mean": [ | |
| 0.48145466, | |
| 0.4578275, | |
| 0.40821073 | |
| ], | |
| "image_processor_type": "BeitImageProcessor", | |
| "image_std": [ | |
| 0.26862954, | |
| 0.26130258, | |
| 0.27577711 | |
| ], | |
| "resample": 3, | |
| "rescale_factor": 0.00392156862745098, | |
| "size": { | |
| "height": 224, | |
| "width": 224 | |
| } | |
| } | |