Instructions to use yuridrcosta/nees-bert-base-portuguese-cased-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yuridrcosta/nees-bert-base-portuguese-cased-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="yuridrcosta/nees-bert-base-portuguese-cased-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("yuridrcosta/nees-bert-base-portuguese-cased-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("yuridrcosta/nees-bert-base-portuguese-cased-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
File size: 239 Bytes
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"cls_token": "[CLS]",
"mask_token": "[MASK]",
"pad_token": {
"content": "[PAD]",
"lstrip": false,
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"rstrip": false,
"single_word": false
},
"sep_token": "[SEP]",
"unk_token": "[UNK]"
}
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