Instructions to use nvidia/dragon-multiturn-query-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nvidia/dragon-multiturn-query-encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="nvidia/dragon-multiturn-query-encoder")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("nvidia/dragon-multiturn-query-encoder") model = AutoModel.from_pretrained("nvidia/dragon-multiturn-query-encoder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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evaluation/README.md
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python evaluate.py --eval-dataset quac
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python evaluate.py --eval-dataset qrecc
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```
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python evaluate.py --eval-dataset quac
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python evaluate.py --eval-dataset qrecc
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```
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For the evaluations of topiocqa and inscit, the Wikipedia corpora need to be downloaded from their original repositories.
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- topiocqa: https://github.com/McGill-NLP/topiocqa
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- inscit: https://github.com/ellenmellon/INSCIT
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