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
- Xet hash:
- f371d74e8cbeef39be8cdf31140be1fba8575c9972416bd28b35c037ea5c7a48
- Size of remote file:
- 558 MB
- SHA256:
- b9e687753e7e47041699f0e86e8d8ab0bcc1221153e757a27f70a72ba0ad9fab
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