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--- informatica:inteligencia_artificial:beto [2023/03/01 22:27] – created jose
+++ informatica:inteligencia_artificial:beto [2023/03/01 22:42] (current) – jose
@@ Line 1: / Line 1: @@
 Fuente: https://colab.research.google.com/github/mrm8488/shared_colab_notebooks/blob/master/Using_Spanish_BERT_fine_tuned_for_Q%26A_pipelines.ipynb#scrollTo=2CdQh0Psl3U8
+Repositorio: https://github.com/dccuchile/beto
 Instalación
@@ Line 34: / Line 36: @@
 He probado metiéndole un texto entero y responde a las preguntas con trozos de texto que pueden ser la respuesta.
+====== CASED Y UNCASED ======
+import torch
+from transformers import BertForMaskedLM, BertTokenizer
+tokenizer = BertTokenizer.from_pretrained("pytorch/", do_lower_case=False)
+model = BertForMaskedLM.from_pretrained("pytorch/")
+e = model.eval()