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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 72edff5741d1391157075677cf5af0a9c9f1104b277726543e670739fdb4301f
- Size of remote file:
- 2.33 GB
- SHA256:
- 5732551b06c19c39b91ea84df94682c4d930875d351e3bbbd6d9054b6756fbac
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