Instructions to use mirbostani/bert-base-uncased-finetuned-triviaqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mirbostani/bert-base-uncased-finetuned-triviaqa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="mirbostani/bert-base-uncased-finetuned-triviaqa")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("mirbostani/bert-base-uncased-finetuned-triviaqa") model = AutoModelForQuestionAnswering.from_pretrained("mirbostani/bert-base-uncased-finetuned-triviaqa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5c827850772fdbecd5a371522949df2dc7977b4a3ca097057c4422a96cb6c32b
- Size of remote file:
- 436 MB
- SHA256:
- a04f62024cb720000bfd559a994d6abbe5449ea504f232b415348a761ae9ad01
路
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