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
File size: 364 Bytes
695da21 769be92 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | 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
|