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roberta-base-biomedical-clinical-es

Fill-Mask
Transformers
PyTorch
Spanish
roberta
biomedical
clinical
spanish
Inference Endpoints
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Update README.md

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@@ -48,15 +48,10 @@ The model is ready-to-use only for masked language modelling to perform the Fill
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  ```python
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  from transformers import AutoTokenizer, AutoModelForMaskedLM
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-
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  tokenizer = AutoTokenizer.from_pretrained("BSC-TeMU/roberta-base-biomedical-es")
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-
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  model = AutoModelForMaskedLM.from_pretrained("BSC-TeMU/roberta-base-biomedical-es")
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-
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  from transformers import pipeline
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  unmasker = pipeline('fill-mask', model="BSC-TeMU/roberta-base-biomedical-es")
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  unmasker("El único antecedente personal a reseñar era la <mask> arterial.")
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  ```
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  ```
 
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  ```python
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  from transformers import AutoTokenizer, AutoModelForMaskedLM
 
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  tokenizer = AutoTokenizer.from_pretrained("BSC-TeMU/roberta-base-biomedical-es")
 
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  model = AutoModelForMaskedLM.from_pretrained("BSC-TeMU/roberta-base-biomedical-es")
 
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  from transformers import pipeline
 
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  unmasker = pipeline('fill-mask', model="BSC-TeMU/roberta-base-biomedical-es")
 
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  unmasker("El único antecedente personal a reseñar era la <mask> arterial.")
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  ```
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  ```