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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- feb532feacdde2b05e5a5c5ce5df302734db50fc28400fbd0c4384f1927246a7
- Size of remote file:
- 990 MB
- SHA256:
- ad320f4d48b84b7e974ed7b889b0ecf8768138815baa0ab27eb2593c2e5e1f6b
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