| language: id | |
| inference: false | |
| # SQuAD IndoBERT-Lite Base Model | |
| Fine-tuned IndoBERT-Lite from IndoBenchmark using Translated SQuAD datasets. | |
| ## How to use | |
| ### Using pipeline | |
| ```python | |
| from transformers import BertTokenizerFast, pipeline | |
| tokenizer = BertTokenizerFast.from_pretrained( | |
| 'Wikidepia/albert-bahasa-uncased-squad', | |
| do_lower_case = True, | |
| ) | |
| # a) Get predictions | |
| nlp = pipeline('question-answering', model="Wikidepia/albert-bahasa-uncased-squad", tokenizer=tokenizer) | |
| ``` | |