Instructions to use lpv30/DL-CK with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lpv30/DL-CK with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("lpv30/DL-CK", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download processor_config.json from lpv30/DL-CK: direct link, hf CLI and curl.
- Browser
- Download file 544 Bytes
-
https://huggingface.co/lpv30/DL-CK/resolve/main/processor_config.json
- Command line
-
hf download hf://lpv30/DL-CK/processor_config.json
-
curl -L -o processor_config.json https://huggingface.co/lpv30/DL-CK/resolve/main/processor_config.json
544 Bytes
| { | |
| "image_processor": { | |
| "do_convert_rgb": true, | |
| "do_normalize": true, | |
| "do_pad": true, | |
| "do_rescale": true, | |
| "do_resize": true, | |
| "image_mean": [ | |
| 0.48145466, | |
| 0.4578275, | |
| 0.40821073 | |
| ], | |
| "image_processor_type": "BlipImageProcessor", | |
| "image_std": [ | |
| 0.26862954, | |
| 0.26130258, | |
| 0.27577711 | |
| ], | |
| "resample": 3, | |
| "rescale_factor": 0.00392156862745098, | |
| "size": { | |
| "height": 384, | |
| "width": 384 | |
| }, | |
| "size_divisor": 32 | |
| }, | |
| "processor_class": "BlipProcessor" | |
| } | |