Transformers
PyTorch
TensorFlow
JAX
TensorBoard
Italian
t5
text2text-generation
italian
sequence-to-sequence
newspaper
ilgiornale
repubblica
headline-generation
text-generation-inference
Instructions to use gsarti/it5-large-headline-generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gsarti/it5-large-headline-generation with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("gsarti/it5-large-headline-generation") model = AutoModelForSeq2SeqLM.from_pretrained("gsarti/it5-large-headline-generation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c29e9c638d966614cbb02aa99225574b8ba7edd9711478605dc167148639f590
- Size of remote file:
- 3.13 GB
- SHA256:
- d5bebd32ac347594faa89134686da8b91e480289f439eb1267e4b7a49c79fe24
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