Instructions to use creative-graphic-design/BASNet-SmartText with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use creative-graphic-design/BASNet-SmartText with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="creative-graphic-design/BASNet-SmartText", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("creative-graphic-design/BASNet-SmartText", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download preprocessor_config.json from creative-graphic-design/BASNet-SmartText: direct link, hf CLI and curl.
- Browser
- Download file 197 Bytes
-
https://huggingface.co/creative-graphic-design/BASNet-SmartText/resolve/main/preprocessor_config.json
- Command line
-
hf download hf://creative-graphic-design/BASNet-SmartText/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/creative-graphic-design/BASNet-SmartText/resolve/main/preprocessor_config.json
197 Bytes
| { | |
| "auto_map": { | |
| "AutoImageProcessor": "image_processing_basnet.BASNetImageProcessor" | |
| }, | |
| "image_processor_type": "BASNetImageProcessor", | |
| "rescale_size": 256, | |
| "to_tensor_lab_flag": 0 | |
| } | |