Instructions to use tgsc/debertina-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tgsc/debertina-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("tgsc/debertina-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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# DeBERTina
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<p align="center">
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<img src="https://huggingface.co/tgsc/debertina-base
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</p>
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DeBERTina é um modelo [DeBERTa-v3](https://arxiv.org/abs/2111.09543) em português treinado no estilo [ELECTRA](https://arxiv.org/abs/2003.10555), com RTD (Replaced Token Detection) e *gradient-disentangled embedding sharing* (GDES).
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# DeBERTina
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<p align="center">
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<img src="https://huggingface.co/tgsc/debertina-base/resolve/main/DeBERTina.png" alt="DeBERTina"/>
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DeBERTina é um modelo [DeBERTa-v3](https://arxiv.org/abs/2111.09543) em português treinado no estilo [ELECTRA](https://arxiv.org/abs/2003.10555), com RTD (Replaced Token Detection) e *gradient-disentangled embedding sharing* (GDES).
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