Question Answering
Transformers
PyTorch
TensorBoard
Habana
roberta
Generated from Trainer
Eval Results (legacy)
Instructions to use nbroad/rob-base-superqa2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nbroad/rob-base-superqa2 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-superqa2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("nbroad/rob-base-superqa2") model = AutoModelForQuestionAnswering.from_pretrained("nbroad/rob-base-superqa2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Librarian Bot: Update Hugging Face dataset ID
Verified signatureThis pull request updates the ID of the dataset used to train the model to the new Hub identifier `ibm/duorc` (which has been migrated moved from `duorc`). We have been working to migrate datasets to their own repositories on the Hub, and this is part of that effort. Updating the dataset ID in the model card will ensure that the model card is correctly linked to the dataset repository on the Hub. This will also make it easier for people to find your model via the training data used to create it. This PR comes courtesy of [Librarian Bot](https://huggingface.co/librarian-bot). If you have any feedback, queries, or need assistance, please don't hesitate to reach out to [@davanstrien](https://huggingface.co/davanstrien).a2aabb8
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Add evaluation results on the plain_text config of squad (#4)
- Add evaluation results on the plain_text config of squad (4996c9436e168c6eae812c9691cd9104c0f7d65e) Co-authored-by: Evaluation Bot <autoevaluator@users.noreply.huggingface.co>0c637d2 -
Add evaluation results on the adversarialQA config of adversarial_qa (#3)
- Add evaluation results on the adversarialQA config of adversarial_qa (eb99045c141e8ec5af46698489fee9baa5d98197) Co-authored-by: Evaluation Bot <autoevaluator@users.noreply.huggingface.co>483c3e8 -
add adversarial qa results
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Add evaluation results on the squad_v2 config of squad_v2 (#1)
- Add evaluation results on the squad_v2 config of squad_v2 (cb4e3cbd037289bdf9cf2df99dbfe30dfecea68c) Co-authored-by: Evaluation Bot <autoevaluator@users.noreply.huggingface.co>3f7f53a -
add datasets
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results
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update model card README.md
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Model save
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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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