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Update README.md
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README.md
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---
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license: apache-2.0
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datasets:
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-
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language:
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- pt
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metrics:
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- confusion_matrix
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base_model:
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- google-bert/bert-base-cased
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pipeline_tag:
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token-classification
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tags:
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- NER
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- medical
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@@ -68,7 +67,7 @@ You can easily use this model with the Hugging Face `transformers` library. Here
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```python
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from transformers import AutoTokenizer, AutoModelForTokenClassification
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model_name = "
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# Load the tokenizer and model
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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---
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license: apache-2.0
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datasets:
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- HUMADEX/portugese_ner_dataset
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language:
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- pt
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metrics:
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- confusion_matrix
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base_model:
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- google-bert/bert-base-cased
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pipeline_tag: token-classification
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tags:
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- NER
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- medical
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```python
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from transformers import AutoTokenizer, AutoModelForTokenClassification
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model_name = "HUMADEX/portugese_medical_ner"
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# Load the tokenizer and model
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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