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-base-headline-generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gsarti/it5-base-headline-generation with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("gsarti/it5-base-headline-generation") model = AutoModelForSeq2SeqLM.from_pretrained("gsarti/it5-base-headline-generation") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b24e6e50da2117a678db5b054af7b67093834085fdc008f75d8026f4c1dd7dcb
- Size of remote file:
- 990 MB
- SHA256:
- 0966f756dab59e9da51e352a7944f577db8345e2c0b5ce0e031a558e1072e938
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.