Instructions to use Palak/microsoft_deberta-base_squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Palak/microsoft_deberta-base_squad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Palak/microsoft_deberta-base_squad")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Palak/microsoft_deberta-base_squad") model = AutoModelForQuestionAnswering.from_pretrained("Palak/microsoft_deberta-base_squad") - Notebooks
- Google Colab
- Kaggle
Add eval result
Browse files
README.md
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# microsoft_deberta-base_squad
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This model is a fine-tuned version of [microsoft/deberta-base](https://huggingface.co/microsoft/deberta-base) on the squad dataset.
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## Model description
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# microsoft_deberta-base_squad
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This model is a fine-tuned version of [microsoft/deberta-base](https://huggingface.co/microsoft/deberta-base) on the squad dataset.
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- "eval_exact_match": 86.30085146641439
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- "eval_f1": 92.68502275661561
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- "eval_samples": 10788
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## Model description
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