Instructions to use mrm8488/bert-medium-finetuned-squadv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/bert-medium-finetuned-squadv2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="mrm8488/bert-medium-finetuned-squadv2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("mrm8488/bert-medium-finetuned-squadv2") model = AutoModelForQuestionAnswering.from_pretrained("mrm8488/bert-medium-finetuned-squadv2") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e116654136c38165c2d4d0582b47cdd3911dd8bd82dc34cf9dad44f61b6ab2e6
- Size of remote file:
- 164 MB
- SHA256:
- e0d7f167f4b81fae889031062c3927a619679e3cb7143262e60874dde0091a87
路
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