Instructions to use mpapucci/it5-gender-classification-tag-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mpapucci/it5-gender-classification-tag-it with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mpapucci/it5-gender-classification-tag-it") model = AutoModelForSeq2SeqLM.from_pretrained("mpapucci/it5-gender-classification-tag-it", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1d53fc6945a7f943aa399561af22b417b34dde86c2b8ba64d21977603d579592
- Size of remote file:
- 990 MB
- SHA256:
- 3482d6f83d3925260c07cad79f927d312eed85e4e4d291889d043d61a1ff2d90
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