Transformers
PyTorch
TensorFlow
JAX
TensorBoard
Italian
t5
text2text-generation
seq2seq
lm-head
text-generation-inference
Instructions to use gsarti/it5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gsarti/it5-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("gsarti/it5-base") model = AutoModelForSeq2SeqLM.from_pretrained("gsarti/it5-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Saving weights and logs of step 600000
Browse files
events.out.tfevents.1631985708.t1v-n-5878b477-w-0.1370293.0.v2
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training_state.json
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{"step": 600001}
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