Instructions to use OwensLab/commfor-data-preprocessor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OwensLab/commfor-data-preprocessor with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("OwensLab/commfor-data-preprocessor", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download preprocessor_config.json from OwensLab/commfor-data-preprocessor: direct link, hf CLI and curl.
- Browser
- Download file 157 Bytes
-
https://huggingface.co/OwensLab/commfor-data-preprocessor/resolve/main/preprocessor_config.json
- Command line
-
hf download hf://OwensLab/commfor-data-preprocessor/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/OwensLab/commfor-data-preprocessor/resolve/main/preprocessor_config.json
157 Bytes
| { | |
| "image_processor_type": "CommForImageProcessor", | |
| "size": 384, | |
| "auto_map": { | |
| "AutoImageProcessor": "dataprocessor_hf.CommForImageProcessor" | |
| } | |
| } | |