Instructions to use VMware/roberta-large-mrqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VMware/roberta-large-mrqa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="VMware/roberta-large-mrqa")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("VMware/roberta-large-mrqa") model = AutoModelForQuestionAnswering.from_pretrained("VMware/roberta-large-mrqa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a415457eb1ec89a7e108c12d95b8c0fe5c54577a15b3580e6fd5e44a1fc19146
- Size of remote file:
- 1.42 GB
- SHA256:
- 8c12e5357ce47563e8c8f5ac53759007147f029bdeb95ea9d92c3806d5a0fcb9
路
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