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@@ -85,8 +85,14 @@ For further information, check the [official website](https://temu.bsc.es/meddoc
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  ## Intended uses and limitations
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  ## How to use
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  ## Limitations and bias
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  At the time of submission, no measures have been taken to estimate the bias embedded in the model. However, we are well aware that our models may be biased since the corpora have been collected using crawling techniques on multiple web sources. We intend to conduct research in these areas in the future, and if completed, this model card will be updated.
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  F1 Score: 0.811 on CARMEN-I Anonymization
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- For evaluation details visit our [GitHub repository](https://github.com/PlanTL-GOB-ES/lm-biomedical-clinical-es).
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  ## Additional information
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  ### Authors
 
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  ## Intended uses and limitations
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+ TDB
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  ## How to use
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+ ⚠ We recommend pre-tokenizing the input text into words instead of providing it directly to the model, as this is how the model was trained. Otherwise, the results and performance might get affected.
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+ A usage example can be found [here](https://github.com/nlp4bia-bsc/hugging-face-pipeline/blob/main/simple_inference.ipynb).
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  ## Limitations and bias
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  At the time of submission, no measures have been taken to estimate the bias embedded in the model. However, we are well aware that our models may be biased since the corpora have been collected using crawling techniques on multiple web sources. We intend to conduct research in these areas in the future, and if completed, this model card will be updated.
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  F1 Score: 0.811 on CARMEN-I Anonymization
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  ## Additional information
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  ### Authors