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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("gsarti/it5-large") model = AutoModelForSeq2SeqLM.from_pretrained("gsarti/it5-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download opt_state.msgpack from gsarti/it5-large: direct link, hf CLI and curl.
- Browser
- Download file 5.42 MB
-
https://huggingface.co/gsarti/it5-large/resolve/main/opt_state.msgpack
- Command line
-
hf download hf://gsarti/it5-large/opt_state.msgpack
-
curl -L -o opt_state.msgpack https://huggingface.co/gsarti/it5-large/resolve/main/opt_state.msgpack
5.42 MB
- Xet hash:
- d18ecd65b79bcfeb9b919f01ccf8cfd6c3f4fb6b97dd522c8797a913f672113a
- Size of remote file:
- 5.42 MB
- SHA256:
- 9a62a883cfbc56a0dacc6e44438358aa25ef853df9c5dce8725c0c903e7da472
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