Transformers
PyTorch
TensorFlow
JAX
TensorBoard
Italian
t5
text2text-generation
seq2seq
lm-head
text-generation-inference
Instructions to use gsarti/it5-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gsarti/it5-large with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("gsarti/it5-large") model = AutoModelForSeq2SeqLM.from_pretrained("gsarti/it5-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 32dcbfb20abc207a237415311cb7270d851c3a679aab3359ea609bb7ba1d0d2b
- Size of remote file:
- 3.13 GB
- SHA256:
- 992646f847a3ea3b2b76931334f9108131a007d429faccb59fef758d3e2d02e4
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