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") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:5d49153101a66bd1d8dd7d5c47067e8d41ad525381c2ed65b705ed0d43c306fe
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size 711440320
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