Instructions to use ModelTC/bart-base-squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ModelTC/bart-base-squad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="ModelTC/bart-base-squad")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ModelTC/bart-base-squad") model = AutoModelForQuestionAnswering.from_pretrained("ModelTC/bart-base-squad") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d76abba6fc74c1ab948d4f7a6b24893231464c6b344d30825fe9d184e8046929
- Size of remote file:
- 558 MB
- SHA256:
- 60a3380040688dbff92f0b62f060d69caf44f2d159a954cc531174a744c9238f
路
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