Instructions to use deepset/roberta-large-squad2-hp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepset/roberta-large-squad2-hp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="deepset/roberta-large-squad2-hp")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("deepset/roberta-large-squad2-hp") model = AutoModelForQuestionAnswering.from_pretrained("deepset/roberta-large-squad2-hp") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d2f60dd44ae24f1813d6da8febc2d51fa5af55772d08ce7dd19ab66d25666fc7
- Size of remote file:
- 1.42 GB
- SHA256:
- 832639a5ed29ed20c659a5ff29626beffa1516c75854e5bc54909b5370c5fd3c
路
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