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:
- 9d5cb08a7be09fc2181a6a8e06da492939fec372a87d3522317c59c64b355057
- Size of remote file:
- 3.06 kB
- SHA256:
- 970eaa587156caf23ef2f702269e5ba0a19bf72d4577e39ad54533fffd6ed8bb
路
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