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-small-headline-generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gsarti/it5-small-headline-generation with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("gsarti/it5-small-headline-generation") model = AutoModelForSeq2SeqLM.from_pretrained("gsarti/it5-small-headline-generation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2a19a01dd560a6d9b934f396224af0bb5c5a7e460465c95384a29f53526d6538
- Size of remote file:
- 308 MB
- SHA256:
- 64f623bc6b8dd78be67f2222baef5b5c32a76638644630e31f2059d418bd84fe
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