Instructions to use Unearthed/artifact-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Unearthed/artifact-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://Unearthed/artifact-classifier") - Notebooks
- Google Colab
- Kaggle
Download weights.weights.h5 from Unearthed/artifact-classifier: direct link, hf CLI and curl.
- Browser
- Download file 91.4 MB
-
https://huggingface.co/Unearthed/artifact-classifier/resolve/main/weights.weights.h5
- Command line
-
hf download hf://Unearthed/artifact-classifier/weights.weights.h5
-
curl -L -o weights.weights.h5 https://huggingface.co/Unearthed/artifact-classifier/resolve/main/weights.weights.h5
91.4 MB
- Xet hash:
- 814bad6b5420db4cdc53033904ee0444d5e9ac356cef3f38304966d0c103c568
- Size of remote file:
- 91.4 MB
- SHA256:
- f97ad4d33c6b6b15167f5f7ca61de9d02f2c83a8079b9bd8e62ce94a7b37aca9
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