Transformers
PyTorch
TensorFlow
JAX
TensorBoard
Italian
t5
text2text-generation
seq2seq
lm-head
text-generation-inference
Instructions to use gsarti/it5-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gsarti/it5-small with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("gsarti/it5-small") model = AutoModelForSeq2SeqLM.from_pretrained("gsarti/it5-small") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e30566f69bde326b5ac45a9cd4dcc63c5f683eaccc8766cf953fed82905216be
- Size of remote file:
- 1.02 MB
- SHA256:
- e7480c903650ed79abbed5c152b703e1e01dc30aa21ad1d6f976f742aa08ccc9
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