Transformers
PyTorch
TensorFlow
JAX
TensorBoard
Italian
mt5
text2text-generation
italian
sequence-to-sequence
newspaper
ilgiornale
repubblica
headline-generation
Instructions to use gsarti/mt5-small-headline-generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gsarti/mt5-small-headline-generation with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("gsarti/mt5-small-headline-generation") model = AutoModelForMultimodalLM.from_pretrained("gsarti/mt5-small-headline-generation") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6ecd03a140451b0a19450a83a40edfcd1d0dab3368f9351682289f46c0d0e2e3
- Size of remote file:
- 1.2 GB
- SHA256:
- 2f76f7ecf94595dbeba8d12be1fede3625b0cb2370117ad07c0a6923dd9541bd
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