Instructions to use mpapucci/it5-multitask-classification-topic-age-gender-tag-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mpapucci/it5-multitask-classification-topic-age-gender-tag-it with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mpapucci/it5-multitask-classification-topic-age-gender-tag-it") model = AutoModelForSeq2SeqLM.from_pretrained("mpapucci/it5-multitask-classification-topic-age-gender-tag-it") - Notebooks
- Google Colab
- Kaggle
Write an italian sentence with one of the following prefixes:
- "Classifica Età: " to get an age classification of the sentence;
- "Classifica Argomento: " to get a topic classification of the sentence;
- "Classifica Genere: " to get a gender classification of the sentence;
The dataset used for the task is: TAG-IT.
The model is a fine tuned version of IT5-base of Sarti and Nissim.
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