Transformers
PyTorch
TensorFlow
JAX
TensorBoard
Italian
t5
text2text-generation
italian
sequence-to-sequence
question-generation
squad_it
text-generation-inference
Instructions to use gsarti/it5-small-question-generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gsarti/it5-small-question-generation with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("gsarti/it5-small-question-generation") model = AutoModelForSeq2SeqLM.from_pretrained("gsarti/it5-small-question-generation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from gsarti/it5-small-question-generation: direct link, hf CLI and curl.
- Browser
- Download file 308 MB
-
https://huggingface.co/gsarti/it5-small-question-generation/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://gsarti/it5-small-question-generation/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/gsarti/it5-small-question-generation/resolve/main/flax_model.msgpack
308 MB
- Xet hash:
- 64b667d9d18aa8f902d823d6d38529650a046a61376e9b7540dd86e21644bfe9
- Size of remote file:
- 308 MB
- SHA256:
- 769ca7463b4b767db4c40da21516187979aa0a3aac696fa73c7fe82001f68578
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