Text Classification
TF-Keras
Italian
custom-multitask
bert
alberto
multi-task-learning
italian
gender-classification
ideology-detection
Instructions to use leeeov4/PIDIT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use leeeov4/PIDIT with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy) # See https://github.com/keras-team/tf-keras for more details. from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("leeeov4/PIDIT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4b7af59383724765063bb255e4ebb5e69458a0973890edf8b9c3b2e221cb02bd
- Size of remote file:
- 18.6 MB
- SHA256:
- 76b7acf5a6a84267b52ffc1d5bda3ebb3cb9f9c62a7cc0edb6929f38d896dd57
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