Instructions to use ForutanRad/bert-fa-QA-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ForutanRad/bert-fa-QA-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="ForutanRad/bert-fa-QA-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ForutanRad/bert-fa-QA-v1") model = AutoModelForQuestionAnswering.from_pretrained("ForutanRad/bert-fa-QA-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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# bert-fa-QA-v1
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This model is a fine-tuned version of [ParsBERT](https://arxiv.org/abs/2005.12515) on PersianQA dataset.
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It achieves the following results on the evaluation set:
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# bert-fa-QA-v1
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Persian Question and answer Model Based on Bert Model
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This model is a fine-tuned version of [ParsBERT](https://arxiv.org/abs/2005.12515) on PersianQA dataset.
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It achieves the following results on the evaluation set:
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