Instructions to use VMware/roberta-base-mrqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VMware/roberta-base-mrqa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="VMware/roberta-base-mrqa")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("VMware/roberta-base-mrqa") model = AutoModelForQuestionAnswering.from_pretrained("VMware/roberta-base-mrqa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0eeab6716e94386a56fec4a39c77cf9c2455432da92701a95eb706948ad5f654
- Size of remote file:
- 496 MB
- SHA256:
- 8e5f534d01019f5360e24c530697a33fd69eb772ff197622307bf940ad1221a1
路
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