Instructions to use Raghavan/textnet-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Raghavan/textnet-base with Transformers:
# Load model directly from transformers import AutoImageProcessor, TextNetBackbone processor = AutoImageProcessor.from_pretrained("Raghavan/textnet-base") model = TextNetBackbone.from_pretrained("Raghavan/textnet-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1fabeb2b90b9064ad38b9f8eea9861bc36c89fa9e6362e1778ca943acf7a1f6e
- Size of remote file:
- 54.3 MB
- SHA256:
- d414e7a89a7709dbc14de450ad52dadc9796ff40b9b74540066132a4410fe724
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