Transformers
PyTorch
Safetensors
Portuguese
t5
text2text-generation
ul2
pt-br
text-generation-inference
Instructions to use tgsc/ult5-pt-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tgsc/ult5-pt-small with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("tgsc/ult5-pt-small") model = AutoModelForSeq2SeqLM.from_pretrained("tgsc/ult5-pt-small") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dc104e2eecbc5a4e064166d4a11bb6c2ebaa9f73260e364747a9eae8dfb2f116
- Size of remote file:
- 330 MB
- SHA256:
- 4832822a0299c7fa476e59451fc253990cf3cdee2d896c7f89a4ed9cbf126486
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