Instructions to use Khauneesh/tf-text-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use Khauneesh/tf-text-classification with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy), and from_pretrained_keras was removed in huggingface_hub 1.0. # See https://github.com/keras-team/tf-keras for more details. # !pip install "huggingface_hub<1.0" tf_keras from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("Khauneesh/tf-text-classification") - Notebooks
- Google Colab
- Kaggle
Download saved_model/saved_model.pb from Khauneesh/tf-text-classification: direct link, hf CLI and curl.
- Browser
- Download file 30.9 kB
-
https://huggingface.co/Khauneesh/tf-text-classification/resolve/main/saved_model/saved_model.pb
- Command line
-
hf download hf://Khauneesh/tf-text-classification/saved_model/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/Khauneesh/tf-text-classification/resolve/main/saved_model/saved_model.pb
30.9 kB
- Xet hash:
- 05cb492425df0bb1034c21abd49f96241a10ed25e992e4d6e9aff783265dddd7
- Size of remote file:
- 30.9 kB
- SHA256:
- efcd68a990e818f8ef613dbf468312846ab35ef24ba0eda97f875c35e9d7d2d3
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