Instructions to use baricevic/flax-instruct-pix2pix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use baricevic/flax-instruct-pix2pix with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("baricevic/flax-instruct-pix2pix", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 708b9ed4cde4f3cef54893dcb5d791bcf56dc3998ac959c83b73abb5890a0111
- Size of remote file:
- 3.44 GB
- SHA256:
- 2a47d5ef63312a001e29a59ef2b73a3366e78ae1fd2eb4bd27048a76c430f2c2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.