Transformers
PyTorch
TensorFlow
JAX
Safetensors
Italian
t5
text2text-generation
text-generation-inference
Instructions to use leobertolazzi/medieval-it5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leobertolazzi/medieval-it5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("leobertolazzi/medieval-it5-base") model = AutoModelForSeq2SeqLM.from_pretrained("leobertolazzi/medieval-it5-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1d3eb831fb75abf376fb1d9dd6c68e33417f0b9997ec487a1e3527a7821955e6
- Size of remote file:
- 990 MB
- SHA256:
- 1227070aa65dc56ec0123785aaa9c06c36b284f27b640e5b35b31f3eb60b0ab3
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