Instructions to use mmaguero/multi-wiki-qa-gn-bert-tiny-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mmaguero/multi-wiki-qa-gn-bert-tiny-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="mmaguero/multi-wiki-qa-gn-bert-tiny-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("mmaguero/multi-wiki-qa-gn-bert-tiny-cased") model = AutoModelForQuestionAnswering.from_pretrained("mmaguero/multi-wiki-qa-gn-bert-tiny-cased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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# multi-wiki-qa-gn-bert-tiny-cased
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This model is a fine-tuned version of [mmaguero/gn-bert-tiny-cased](https://huggingface.co/mmaguero/gn-bert-tiny-cased) on
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Test set (20%):
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- exact_match: 0.8991008991008991
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# multi-wiki-qa-gn-bert-tiny-cased
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This model is a fine-tuned version of [mmaguero/gn-bert-tiny-cased](https://huggingface.co/mmaguero/gn-bert-tiny-cased) on [alexandrainst/multi-wiki-qa](https://huggingface.co/datasets/alexandrainst/multi-wiki-qa) dataset.
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Test set (20%):
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- exact_match: 0.8991008991008991
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