Instructions to use mbartolo/roberta-large-synqa-ext with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mbartolo/roberta-large-synqa-ext with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="mbartolo/roberta-large-synqa-ext")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("mbartolo/roberta-large-synqa-ext") model = AutoModelForQuestionAnswering.from_pretrained("mbartolo/roberta-large-synqa-ext", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Librarian Bot: Update Hugging Face dataset ID (#4)
Verified signature- Librarian Bot: Update Hugging Face dataset ID (0204e8c3d1ce319680132d2d46438be53d671be3) Co-authored-by: Librarian Bot (Bot) <librarian-bot@users.noreply.huggingface.co>8ed1898
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Add evaluation results on the adversarialQA config of adversarial_qa (#1)
- Add evaluation results on the adversarialQA config of adversarial_qa (4f942fd34c003de213b78c2267ddb459bcb8e1dc) Co-authored-by: Evaluation Bot <autoevaluator@users.noreply.huggingface.co>2119a9f
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