Transformers
PyTorch
TensorFlow
JAX
TensorBoard
Italian
mt5
text2text-generation
italian
sequence-to-sequence
newspaper
ilgiornale
repubblica
headline-generation
Instructions to use gsarti/mt5-base-headline-generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gsarti/mt5-base-headline-generation with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("gsarti/mt5-base-headline-generation") model = AutoModelForSeq2SeqLM.from_pretrained("gsarti/mt5-base-headline-generation") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7a69f0736f62b357a19a0384950aaa0c630fc744bfee5027770799f85adeb2e9
- Size of remote file:
- 2.33 GB
- SHA256:
- 372061211a5f22edb8f080f9e4a9d1d3083e92fd4d760d60e7dc13f6bf838bc5
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