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)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("creative-graphic-design/BASNet-SmartText", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 197 Bytes
70c20dc | 1 2 3 4 5 6 7 8 9 | {
"auto_map": {
"AutoImageProcessor": "image_processing_basnet.BASNetImageProcessor"
},
"image_processor_type": "BASNetImageProcessor",
"rescale_size": 256,
"to_tensor_lab_flag": 0
}
|