Instructions to use castorini/mdpr-question-nq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use castorini/mdpr-question-nq with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="castorini/mdpr-question-nq")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("castorini/mdpr-question-nq") model = AutoModel.from_pretrained("castorini/mdpr-question-nq", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from castorini/mdpr-question-nq: direct link, hf CLI and curl.
- Browser
- Download file 1.96 MB
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https://huggingface.co/castorini/mdpr-question-nq/resolve/main/tokenizer.json
- Command line
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hf download hf://castorini/mdpr-question-nq/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/castorini/mdpr-question-nq/resolve/main/tokenizer.json
1.96 MB
File too large to display, you can check the raw version instead.