Instructions to use Naati101/tb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Naati101/tb 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://Naati101/tb") - Notebooks
- Google Colab
- Kaggle
Download model.png from Naati101/tb: direct link, hf CLI and curl.
- Browser
- Download file 1.24 MB
-
https://huggingface.co/Naati101/tb/resolve/main/model.png
- Command line
-
hf download hf://Naati101/tb/model.png
-
curl -L -o model.png https://huggingface.co/Naati101/tb/resolve/main/model.png
1.24 MB

- Xet hash:
- 5fdd57c6fd0fa355d6c2b30ee8d497d15abbcef825c5c0bcb7b81c8d2a239b16
- Size of remote file:
- 1.24 MB
- SHA256:
- 095da058c5ef4f0d7bacc32cae898b7b1b1eacbe70602af42548396f326d94fd
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