Instructions to use Derendering/InkSight-Small-p with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use Derendering/InkSight-Small-p with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy) # See https://github.com/keras-team/tf-keras for more details. from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("Derendering/InkSight-Small-p") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3f24555d20e0aff4ebfe72db4b31370b2788c992d15054a45ab73b6721000451
- Size of remote file:
- 24.9 MB
- SHA256:
- e536fbfaa201c8d94fe8fa8a0cf581d4932721f388fc5df1677ec051109134fc
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.