Instructions to use raoulritter/STB-VMM-Simplification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use raoulritter/STB-VMM-Simplification 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("raoulritter/STB-VMM-Simplification") - Notebooks
- Google Colab
- Kaggle
Download ckpt_e09.pth.tar from raoulritter/STB-VMM-Simplification: direct link, hf CLI and curl.
- Browser
- Download file 149 MB
-
https://huggingface.co/raoulritter/STB-VMM-Simplification/resolve/main/ckpt_e09.pth.tar
- Command line
-
hf download hf://raoulritter/STB-VMM-Simplification/ckpt_e09.pth.tar
-
curl -L -o ckpt_e09.pth.tar https://huggingface.co/raoulritter/STB-VMM-Simplification/resolve/main/ckpt_e09.pth.tar
149 MB
- Xet hash:
- 9dbb2ac5eeae16752e9091895203509c796072cd231fe4bff43fa0c31ae95886
- Size of remote file:
- 149 MB
- SHA256:
- 4b503d280322ad5a257fd760878447c3e13e80800baa06b8288ee37bd79173ce
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