Instructions to use alienit/dpr-question_encoder-bert-base-persian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alienit/dpr-question_encoder-bert-base-persian with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="alienit/dpr-question_encoder-bert-base-persian")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("alienit/dpr-question_encoder-bert-base-persian") model = AutoModel.from_pretrained("alienit/dpr-question_encoder-bert-base-persian", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1cd7f9c2d945e60ea99332efef75a6a14bead433ac12e26d73921b275f514bb2
- Size of remote file:
- 711 MB
- SHA256:
- 57bd5a5667113d1e71d2754a101d7e33f244774fa2960655d70bee4869e904a2
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