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, device_map="auto") - Notebooks
- Google Colab
- Kaggle
| from transformers.configuration_utils import PretrainedConfig | |
| class BASNetConfig(PretrainedConfig): | |
| model_type = "basnet" | |
| def __init__( | |
| self, | |
| n_channels: int = 3, | |
| kernel_size: int = 3, | |
| **kwargs, | |
| ) -> None: | |
| super().__init__(**kwargs) | |
| self.n_channels = n_channels | |
| self.kernel_size = kernel_size | |