Instructions to use cnmoro/ult5-pt-small-instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cnmoro/ult5-pt-small-instruct with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("cnmoro/ult5-pt-small-instruct") model = AutoModelForSeq2SeqLM.from_pretrained("cnmoro/ult5-pt-small-instruct") - Notebooks
- Google Colab
- Kaggle
Model based on:
Finetuned on a self-made instruction dataset.
Portuguese only.
Trained on input context length: 1024 tokens
output context length: 512
But generally, T5 models accepts more than the default input context length.
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