Instructions to use sultan/ArabicDPR_Question_Encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sultan/ArabicDPR_Question_Encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="sultan/ArabicDPR_Question_Encoder")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("sultan/ArabicDPR_Question_Encoder") model = AutoModel.from_pretrained("sultan/ArabicDPR_Question_Encoder") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- abda4926d024c843560a35258e713ce443ad16d410ccc178b880cf05d9c9f051
- Size of remote file:
- 538 MB
- SHA256:
- 206418133543d65b9192bad2b4ebcd75289fac275f3a08cded2f8825523e8960
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