Instructions to use MA29/astro-image-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use MA29/astro-image-classifier 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://MA29/astro-image-classifier") - Notebooks
- Google Colab
- Kaggle
Download ensemble_model.keras from MA29/astro-image-classifier: direct link, hf CLI and curl.
- Browser
- Download file 267 MB
-
https://huggingface.co/MA29/astro-image-classifier/resolve/main/ensemble_model.keras
- Command line
-
hf download hf://MA29/astro-image-classifier/ensemble_model.keras
-
curl -L -o ensemble_model.keras https://huggingface.co/MA29/astro-image-classifier/resolve/main/ensemble_model.keras
267 MB
- Xet hash:
- f43adb5b6c87a3ba15fd2b8ee75cd6304acceefbc850161c6affc09588228d44
- Size of remote file:
- 267 MB
- SHA256:
- 39997c9aad6885bb5ba458777dfcfdd513bbe3aeff1b62fea8acf3fb873e6d67
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