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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 14c17f2b889b86c145bd4526d82f7a5b144f987830e708f1dcf6a0c135774ea2
- Size of remote file:
- 308 MB
- SHA256:
- 0dd175d4fcb6120631594576bc25a31d0bebf1199686be53aecd36992d706b1f
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