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:
- 8a9bf7a0e8846bab83e8108ce66de57eeb9c6a4c4611394298c5e3f0e2cd23a8
- Size of remote file:
- 1.19 GB
- SHA256:
- d5df52c15f4f5470f0f0a95b9576155176ee836924d240e55cb242d12fa9f8df
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