Transformers
PyTorch
TensorFlow
JAX
TensorBoard
Italian
t5
text2text-generation
seq2seq
lm-head
text-generation-inference
Instructions to use gsarti/it5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gsarti/it5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("gsarti/it5-base") model = AutoModelForSeq2SeqLM.from_pretrained("gsarti/it5-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1cd45db74035e945190367d91878dda7d9caf1621c270359ace91d8818840c60
- Size of remote file:
- 2.19 MB
- SHA256:
- 5e8f46e9c4170288b4bd0eebf7429b8fb803a9fe20a1f1312db88c626d2e3dca
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