Instructions to use KienLe21/bert_qa_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KienLe21/bert_qa_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="KienLe21/bert_qa_model")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("KienLe21/bert_qa_model") model = AutoModelForQuestionAnswering.from_pretrained("KienLe21/bert_qa_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 987d1b1dfc2d6889b5562f333f60ae01376d37ed1648e48c3862bf86455f5970
- Size of remote file:
- 265 MB
- SHA256:
- 4fc24c964c251089a131626878f997ee445717e2f08afb51c94da52c53fc73f6
路
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