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
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| [ult5-pt-small](https://huggingface.co/tgsc/ult5-pt-small) | encoder-decoder | 65k |82.4M | 1024 |
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| [sentence-transformer-ult5-pt-small](https://huggingface.co/tgsc/ult5-pt-small) | sentence-transformer | 65k | 51M | 1024 |
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| [DeBERTina-base](https://huggingface.co/tgsc/debertina-base) | encoder | 32k | 100M | 512 |
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| Model | type | Vocabulary | Parameters | Context length |
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| [ult5-pt-small](https://huggingface.co/tgsc/ult5-pt-small) | encoder-decoder | 65k |82.4M | 1024 |
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| [sentence-transformer-ult5-pt-small](https://huggingface.co/tgsc/sentence-transformer-ult5-pt-small) | sentence-transformer | 65k | 51M | 1024 |
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| [DeBERTina-base](https://huggingface.co/tgsc/debertina-base) | encoder | 32k | 100M | 512 |
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