serdarcaglar
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roberta-base-biomedical-es

Inference Endpoints

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serdarcaglar commited on Sep 9, 2023

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@@ -44,10 +44,10 @@ The model is ready-to-use only for masked language modelling to perform the Fill
 ```python
 from transformers import AutoTokenizer, AutoModelForMaskedLM
-tokenizer = AutoTokenizer.from_pretrained("BSC-TeMU/roberta-base-biomedical-es")
-model = AutoModelForMaskedLM.from_pretrained("BSC-TeMU/roberta-base-biomedical-es")
 from transformers import pipeline
-unmasker = pipeline('fill-mask', model="BSC-TeMU/roberta-base-biomedical-es")
 unmasker("El único antecedente personal a reseñar era la <mask> arterial.")
 ```
 ```

 ```python
 from transformers import AutoTokenizer, AutoModelForMaskedLM
+tokenizer = AutoTokenizer.from_pretrained("serdarcaglar/roberta-base-biomedical-es")
+model = AutoModelForMaskedLM.from_pretrained("serdarcaglar/roberta-base-biomedical-es")
 from transformers import pipeline
+unmasker = pipeline('fill-mask', model="serdarcaglar/roberta-base-biomedical-es")
 unmasker("El único antecedente personal a reseñar era la <mask> arterial.")
 ```
 ```