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:
- 7908ac79e8942750adf0e3ea64f3b3350d704108d41c9ab39e5bbf84c12332b8
- Size of remote file:
- 308 MB
- SHA256:
- db8ceeb49fdd73f0fdb605be3a4697fa1b5c513cbb19989ae5ccc6952729ad1c
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