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
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README.md
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"TFBertModel": TFBertModel,
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"TFAutoModel": TFAutoModel
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})
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#
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```python
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from transformers import AutoTokenizer
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bert_tokenizer = AutoTokenizer.from_pretrained("leeeov4/PIDIT/bert_tokenizer")
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"TFBertModel": TFBertModel,
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"TFAutoModel": TFAutoModel
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})
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# Load the tokenizers
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from transformers import AutoTokenizer
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bert_tokenizer = AutoTokenizer.from_pretrained("leeeov4/PIDIT/bert_tokenizer")
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