Instructions to use VMware/tinyroberta-mrqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VMware/tinyroberta-mrqa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="VMware/tinyroberta-mrqa")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("VMware/tinyroberta-mrqa") model = AutoModelForQuestionAnswering.from_pretrained("VMware/tinyroberta-mrqa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bdb878be84d1112518ad5ff415d1c30d6662b535fa5dddb6cb5483569b412cd0
- Size of remote file:
- 326 MB
- SHA256:
- 6948cec6460c30b180b4db666f313da8a994907e03f72d3495a7f88bd7b728c5
路
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