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This model was distilled from BERTimbau

Usage

from transformers import AutoTokenizer  # Or BertTokenizer
from transformers import AutoModelForPreTraining  # Or BertForPreTraining for loading pretraining heads
from transformers import AutoModel  # or BertModel, for BERT without pretraining heads
model = AutoModelForPreTraining.from_pretrained('adalbertojunior/distilbert-portuguese-cased')
tokenizer = AutoTokenizer.from_pretrained('adalbertojunior/distilbert-portuguese-cased', do_lower_case=False)

You should fine tune it on your own data.

It can achieve accuracy up to 99% relative to the original BERTimbau in some tasks.

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This model can be loaded on Inference API (serverless).

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