Instructions to use mbartolo/electra-large-synqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mbartolo/electra-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/electra-large-synqa")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("mbartolo/electra-large-synqa") model = AutoModelForQuestionAnswering.from_pretrained("mbartolo/electra-large-synqa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Librarian Bot: Update Hugging Face dataset ID (#5)
Verified signature- Librarian Bot: Update Hugging Face dataset ID (6c872cab12d3a42dad0b460918235110fcfe97ad) Co-authored-by: Librarian Bot (Bot) <librarian-bot@users.noreply.huggingface.co>57a1e22
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Restore license quotes
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Add evaluation results on the plain_text config of squad (#1)
- Add evaluation results on the plain_text config of squad (9463ddb9455e57fd51c17ee2e600bfea65b77f1f) Co-authored-by: Evaluation Bot <autoevaluator@users.noreply.huggingface.co>c57ed3b
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Added model card YAML
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Create LICENSE
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Merge branch 'main' of https://huggingface.co/mbartolo/electra-large-synqa
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Update README.md
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Uploading model
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Create README.md
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initial commit
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