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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a5d42036281f314fc63342b76321fc11902c6571f5e1aedb649c7790d937aa0b
- Size of remote file:
- 1.42 GB
- SHA256:
- f51448fd28ada075f7d900cf0f88e59ae649e6e1303acb3f7eecbb9993daea2f
路
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