Instructions to use luiseduardobrito/bert-base-portuguese-cased-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use luiseduardobrito/bert-base-portuguese-cased-onnx with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="luiseduardobrito/bert-base-portuguese-cased-onnx")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("luiseduardobrito/bert-base-portuguese-cased-onnx") model = AutoModelForMaskedLM.from_pretrained("luiseduardobrito/bert-base-portuguese-cased-onnx") - Notebooks
- Google Colab
- Kaggle
BERTimbau Base (aka "bert-base-portuguese-cased")
Introduction
BERTimbau Base is a pretrained BERT model for Brazilian Portuguese that achieves state-of-the-art performances on three downstream NLP tasks: Named Entity Recognition, Sentence Textual Similarity and Recognizing Textual Entailment. It is available in two sizes: Base and Large.
This is a converted version of the original model using ONNX.
For further information or requests, please go to BERTimbau repository.
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