Instructions to use lfcc/bert-portuguese-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lfcc/bert-portuguese-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="lfcc/bert-portuguese-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("lfcc/bert-portuguese-ner") model = AutoModelForTokenClassification.from_pretrained("lfcc/bert-portuguese-ner", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
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# bert-portuguese-ner
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This model is a fine-tuned version of [neuralmind/bert-base-portuguese-cased](https://huggingface.co/neuralmind/bert-base-portuguese-cased)
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It achieves the following results on the evaluation set:
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# bert-portuguese-ner
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This model is a fine-tuned version of [neuralmind/bert-base-portuguese-cased](https://huggingface.co/neuralmind/bert-base-portuguese-cased)
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It achieves the following results on the evaluation set:
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