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_config.json from castorini/mdpr-question-nq: direct link, hf CLI and curl.
- Browser
- Download file 29 Bytes
-
https://huggingface.co/castorini/mdpr-question-nq/resolve/refs%2Fpr%2F1/tokenizer_config.json
- Command line
-
hf download hf://castorini/mdpr-question-nq@refs/pr/1/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/castorini/mdpr-question-nq/resolve/refs%2Fpr%2F1/tokenizer_config.json
29 Bytes
| { | |
| "do_lower_case": false | |
| } | |