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language: en |
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license: apache-2.0 |
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datasets: natural_questions |
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--- |
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This checkpoint is obtained after training `BigBirdForQuestionAnswering` (with extra pooler head) on [`natural_questions`](https://huggingface.co/datasets/natural_questions) dataset for ~ 2 weeks on 2 K80 GPUs. Script for training can be found here: https://github.com/vasudevgupta7/bigbird |
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| Exact Match | 47.44 | |
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**Use this model just like any other model from 🤗Transformers** |
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```python |
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from transformers import BigBirdForQuestionAnswering |
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model_id = "vasudevgupta/bigbird-roberta-natural-questions" |
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model = BigBirdForQuestionAnswering.from_pretrained(model_id) |
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tokenizer = BigBirdTokenizer.from_pretrained(model_id) |
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``` |
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In case you are interested in predicting category (null, long, short, yes, no) as well, use `BigBirdForNaturalQuestions` (instead of `BigBirdForQuestionAnswering`) from my training script. |
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