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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@@ -73,7 +73,7 @@ The following hyperparameters were used during training:
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```bibtex
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@Article{make4010003,
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AUTHOR = {Cunha, Luís Filipe
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TITLE = {NER in Archival Finding Aids: Extended},
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JOURNAL = {Machine Learning and Knowledge Extraction},
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VOLUME = {4},
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```bibtex
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@Article{make4010003,
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AUTHOR = {Cunha, Luís Filipe and Ramalho, José Carlos},
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TITLE = {NER in Archival Finding Aids: Extended},
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JOURNAL = {Machine Learning and Knowledge Extraction},
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VOLUME = {4},
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