Instructions to use SajjadAyoubi/bert-base-fa-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SajjadAyoubi/bert-base-fa-qa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="SajjadAyoubi/bert-base-fa-qa")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("SajjadAyoubi/bert-base-fa-qa") model = AutoModelForQuestionAnswering.from_pretrained("SajjadAyoubi/bert-base-fa-qa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cdd76373b3af7cdf870a7476692ff66a2b1ae9fc590b472cac3e9082b1f8cfe9
- Size of remote file:
- 649 MB
- SHA256:
- 60a38512e1192e5c53f22d26248ab1d8621b924447d51febe141ae59c5a4f8a3
路
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