Instructions to use seige-ml/DeepSeeNet_DRUSEN with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use seige-ml/DeepSeeNet_DRUSEN with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://seige-ml/DeepSeeNet_DRUSEN") - Notebooks
- Google Colab
- Kaggle
Download fingerprint.pb from seige-ml/DeepSeeNet_DRUSEN: direct link, hf CLI and curl.
- Browser
- Download file 57 Bytes
-
https://huggingface.co/seige-ml/DeepSeeNet_DRUSEN/resolve/main/fingerprint.pb
- Command line
-
hf download hf://seige-ml/DeepSeeNet_DRUSEN/fingerprint.pb
-
curl -L -o fingerprint.pb https://huggingface.co/seige-ml/DeepSeeNet_DRUSEN/resolve/main/fingerprint.pb
57 Bytes
- Xet hash:
- 941bcce9330b221d91e71a75ee19774bbb07b5d8a959f1513052b6e0e3a65da4
- Size of remote file:
- 57 Bytes
- SHA256:
- 746bfc962eb36394c622ac362f585a49b9768ba1ed155be51c51284860e8750a
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