Transformers
PyTorch
TensorFlow
JAX
TensorBoard
Italian
t5
text2text-generation
seq2seq
lm-head
text-generation-inference
Instructions to use gsarti/it5-base-oscar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gsarti/it5-base-oscar with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("gsarti/it5-base-oscar") model = AutoModelForSeq2SeqLM.from_pretrained("gsarti/it5-base-oscar") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1c7cdd18b2aa1fa1d83947176332edfa98c9ab73cfbfc86711f691a6fc421a69
- Size of remote file:
- 892 MB
- SHA256:
- 8ee8cfa7851b39042075b6a778d6b9f32a86c7554e15d54f96a22b0862569038
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