Instructions to use valhalla/bart-large-finetuned-squadv1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use valhalla/bart-large-finetuned-squadv1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="valhalla/bart-large-finetuned-squadv1")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("valhalla/bart-large-finetuned-squadv1") model = AutoModelForQuestionAnswering.from_pretrained("valhalla/bart-large-finetuned-squadv1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4d0ff264fffd88672ac32015eb1b6f8faf721526897d448c299393a7b897a8cd
- Size of remote file:
- 1.63 GB
- SHA256:
- be4d45b438dca146cd7a02e1e8de94587512a1e798565d84aea9ffc9004cac37
路
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