Question Answering
Transformers
PyTorch
TensorBoard
Habana
roberta
Generated from Trainer
Eval Results (legacy)
Instructions to use nbroad/rob-base-superqa1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nbroad/rob-base-superqa1 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="nbroad/rob-base-superqa1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("nbroad/rob-base-superqa1") model = AutoModelForQuestionAnswering.from_pretrained("nbroad/rob-base-superqa1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Add verifyToken field to verify evaluation results are produced by Hugging Face's automatic model evaluator
Beep boop, I am a bot from Hugging Face's automatic model evaluator 👋! We've added a new `verifyToken` field to your evaluation results to verify that they are produced by the model evaluator. Accept this PR to ensure that your results remain listed as **verified** on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards).d5fb657
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Add evaluation results on the default config of quoref (#3)
- Add evaluation results on the default config of quoref (423989e05cd066840d90a39f98352461f965186e) Co-authored-by: Evaluation Bot <autoevaluator@users.noreply.huggingface.co>e49ab07 -
Add evaluation results on the squad_v2 config of squad_v2 (#2)
- Add evaluation results on the squad_v2 config of squad_v2 (03fee00a4ceb78bbeb601ee8361a5f3779e82ad8) Co-authored-by: Evaluation Bot <autoevaluator@users.noreply.huggingface.co>92d1d2a -
Add evaluation results on the adversarialQA config of adversarial_qa (#1)
- Add evaluation results on the adversarialQA config of adversarial_qa (6e546e4f800fd897d361cab956781063d56cdee6) Co-authored-by: Evaluation Bot <autoevaluator@users.noreply.huggingface.co>bf9c36b -
add datasets to frontmatter
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Merge branch 'main' of https://huggingface.co/nbroad/rob-base-superqa into main
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results
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add task
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update model card README.md
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Model save
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Training in progress, epoch 3
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Training in progress, epoch 2
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Training in progress, epoch 1
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initial commit
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