Instructions to use ModelTC/bart-base-squad2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ModelTC/bart-base-squad2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="ModelTC/bart-base-squad2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ModelTC/bart-base-squad2") model = AutoModelForQuestionAnswering.from_pretrained("ModelTC/bart-base-squad2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 24725891382d7eac69f9850989898a3f113b6b0cc807dc1aea3e8eed021bceb3
- Size of remote file:
- 623 Bytes
- SHA256:
- f267d6879c225ff45c28ccd1c46fafe7d0ec95f4a19ed1cccd7e35439eae0c28
路
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