Instructions to use mbartolo/roberta-large-synqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mbartolo/roberta-large-synqa 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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("mbartolo/roberta-large-synqa") model = AutoModelForQuestionAnswering.from_pretrained("mbartolo/roberta-large-synqa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Add evaluation results on the adversarialQA config of adversarial_qa (#2)
- Add evaluation results on the adversarialQA config of adversarial_qa (4841136e1455b698c197208d9d9bab169332178a) Co-authored-by: Evaluation Bot <autoevaluator@users.noreply.huggingface.co>1ae8322 -
Add evaluation results on the plain_text config of squad (#1)
- Add evaluation results on the plain_text config of squad (d80ef3b85317b0004df495ccb787e317c2e5c0b7) Co-authored-by: Evaluation Bot <autoevaluator@users.noreply.huggingface.co>075b66c
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