Instructions to use yolac/BacterialMorphologyClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use yolac/BacterialMorphologyClassification with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://yolac/BacterialMorphologyClassification") - Notebooks
- Google Colab
- Kaggle
Download model.pth from yolac/BacterialMorphologyClassification: direct link, hf CLI and curl.
- Browser
- Download file 5.7 kB
-
https://huggingface.co/yolac/BacterialMorphologyClassification/resolve/main/model.pth
- Command line
-
hf download hf://yolac/BacterialMorphologyClassification/model.pth
-
curl -L -o model.pth https://huggingface.co/yolac/BacterialMorphologyClassification/resolve/main/model.pth
5.7 kB
- Xet hash:
- 06f06b590ec0c5fca9eb16965457814a22c8242447cc633da2d1eb7c267b02a6
- Size of remote file:
- 5.7 kB
- SHA256:
- fbc19ef1daa8dc940ec0f96d38ae1b47807866ca02ac475735ae8ffc8032b134
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.