Question Answering
Transformers
PyTorch
Safetensors
English
bart
squad
squad_v2
Eval Results (legacy)
Instructions to use sjrhuschlee/bart-base-squad2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sjrhuschlee/bart-base-squad2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="sjrhuschlee/bart-base-squad2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("sjrhuschlee/bart-base-squad2") model = AutoModelForQuestionAnswering.from_pretrained("sjrhuschlee/bart-base-squad2") - Notebooks
- Google Colab
- Kaggle
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# bart-base for QA
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This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the [SQuAD2.0](https://huggingface.co/datasets/squad_v2) dataset.
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# bart-base for Extractive QA
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This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the [SQuAD2.0](https://huggingface.co/datasets/squad_v2) dataset.
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