Instructions to use logasja/auramask-ensemble-hudson with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use logasja/auramask-ensemble-hudson with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://logasja/auramask-ensemble-hudson") - Notebooks
- Google Colab
- Kaggle
Download model.tflite from logasja/auramask-ensemble-hudson: direct link, hf CLI and curl.
- Browser
- Download file 274 MB
-
https://huggingface.co/logasja/auramask-ensemble-hudson/resolve/main/model.tflite
- Command line
-
hf download hf://logasja/auramask-ensemble-hudson/model.tflite
-
curl -L -o model.tflite https://huggingface.co/logasja/auramask-ensemble-hudson/resolve/main/model.tflite
274 MB
- Xet hash:
- 8fd4f4ee5da80fe433a15306adf84e894f3af787951912ac019aed8f394bf3b3
- Size of remote file:
- 274 MB
- SHA256:
- 5a8b31937b8a2735b95e45fcd0e784d0dc19de361207bcb6fdcfe1a0ffbfdef4
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