Instructions to use sultan/ArabicDPR_Passage_Encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sultan/ArabicDPR_Passage_Encoder with Transformers:
# Load model directly from transformers import AutoTokenizer, DPRContextEncoder tokenizer = AutoTokenizer.from_pretrained("sultan/ArabicDPR_Passage_Encoder") model = DPRContextEncoder.from_pretrained("sultan/ArabicDPR_Passage_Encoder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b3f5d4c7eccaf215b4091bbc2996737a0bc484bdd18badc6f6a8bbd7bc00a9cd
- Size of remote file:
- 538 MB
- SHA256:
- 90560dbecf82d5fba2d87afcc500b796090263b3b8eed96b7022c0addca7338a
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