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
- Xet hash:
- 5cd1f1e92abf5ca7dc6f30bf3d09aadb4f1372fdf7f6be43fb0bdd0f31b5b13a
- Size of remote file:
- 348 MB
- SHA256:
- 9d56514d048060e04c6df305ebc898d538e7a9ae1a8211c86a9613eef8c16452
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.