Instructions to use LuisTo97/greenvisionmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use LuisTo97/greenvisionmodel with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy), and from_pretrained_keras was removed in huggingface_hub 1.0. # See https://github.com/keras-team/tf-keras for more details. # !pip install "huggingface_hub<1.0" tf_keras from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("LuisTo97/greenvisionmodel") - Notebooks
- Google Colab
- Kaggle
Download fingerprint.pb from LuisTo97/greenvisionmodel: direct link, hf CLI and curl.
- Browser
- Download file 56 Bytes
-
https://huggingface.co/LuisTo97/greenvisionmodel/resolve/main/fingerprint.pb
- Command line
-
hf download hf://LuisTo97/greenvisionmodel/fingerprint.pb
-
curl -L -o fingerprint.pb https://huggingface.co/LuisTo97/greenvisionmodel/resolve/main/fingerprint.pb
56 Bytes
- Xet hash:
- f997670e1e125c8551886556a0f569f60420f4718c4d8c5c04f25e9463b46263
- Size of remote file:
- 56 Bytes
- SHA256:
- 8cbc0d15edce9ecae4bf56fd7a34caba67914ad5e46fb0375bb720e0dee4ab43
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.