Instructions to use soheeyang/rdr-question_encoder-single-nq-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use soheeyang/rdr-question_encoder-single-nq-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="soheeyang/rdr-question_encoder-single-nq-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("soheeyang/rdr-question_encoder-single-nq-base") model = AutoModel.from_pretrained("soheeyang/rdr-question_encoder-single-nq-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from soheeyang/rdr-question_encoder-single-nq-base: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/soheeyang/rdr-question_encoder-single-nq-base/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://soheeyang/rdr-question_encoder-single-nq-base/pytorch_model.bin
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curl -L -o pytorch_model.bin https://huggingface.co/soheeyang/rdr-question_encoder-single-nq-base/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- a83b20e67ffff2cd33f2e46e9bc936531da9836b01a67bb94faa31cd37ef804e
- Size of remote file:
- 438 MB
- SHA256:
- 892f0b436e06ea83f8bba9963be9b8ff5e5f3098a0476bdb4c904f1e151dc752
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