Transformers
PyTorch
TensorFlow
JAX
TensorBoard
Italian
t5
text2text-generation
italian
sequence-to-sequence
newspaper
ilgiornale
repubblica
efficient
headline-generation
Eval Results (legacy)
text-generation-inference
Instructions to use gsarti/it5-efficient-small-el32-headline-generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gsarti/it5-efficient-small-el32-headline-generation with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("gsarti/it5-efficient-small-el32-headline-generation") model = AutoModelForSeq2SeqLM.from_pretrained("gsarti/it5-efficient-small-el32-headline-generation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2f7e65ef8499e0ec6eb0ff5f67f4f78dfb257b444f91b4420a945df15d9e87dd
- Size of remote file:
- 569 MB
- SHA256:
- fa408e3583f5282dd8b5675ea88170d1bebebdf2017416479a2334611b5d4970
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