Instructions to use sammlapp/Perch_V1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use sammlapp/Perch_V1 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("sammlapp/Perch_V1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b9fbfdac3ae0e250451f3bed596fae20c138bdc98b2b67fff8910e2245b74097
- Size of remote file:
- 3.88 MB
- SHA256:
- 8d603a05e7712c070447815e8835490d4a9b951310ecc60e4ec9ab1b50730a72
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.