Instructions to use DaneshSelwal/Classification-DIAS-65Bands with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use DaneshSelwal/Classification-DIAS-65Bands with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://DaneshSelwal/Classification-DIAS-65Bands") - Notebooks
- Google Colab
- Kaggle
Download data/DIAS.mat from DaneshSelwal/Classification-DIAS-65Bands: direct link, hf CLI and curl.
- Browser
- Download file 12.8 MB
-
https://huggingface.co/DaneshSelwal/Classification-DIAS-65Bands/resolve/main/data/DIAS.mat
- Command line
-
hf download hf://DaneshSelwal/Classification-DIAS-65Bands/data/DIAS.mat
-
curl -L -o DIAS.mat https://huggingface.co/DaneshSelwal/Classification-DIAS-65Bands/resolve/main/data/DIAS.mat
12.8 MB
- Xet hash:
- b824673381507d9e3db6d89ab7980d922d020449f3073ee263de6bf1139a6286
- Size of remote file:
- 12.8 MB
- SHA256:
- bd04d31e1659bc2511d90d82dc51db691c8ffe18aa1d1d057d07e5ec13541b0d
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