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") - Inference
- Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from nvidia/dragon-multiturn-query-encoder: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/nvidia/dragon-multiturn-query-encoder/resolve/b4dfda0f262c3441c610e33258b798749e54ed7e/pytorch_model.bin
- Command line
-
hf download hf://nvidia/dragon-multiturn-query-encoder@b4dfda0f262c3441c610e33258b798749e54ed7e/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/nvidia/dragon-multiturn-query-encoder/resolve/b4dfda0f262c3441c610e33258b798749e54ed7e/pytorch_model.bin
438 MB
- Xet hash:
- cf20b168673a5b9ff7acb413c160eda37e4fca0f3c1a779835a53da84e99256a
- Size of remote file:
- 438 MB
- SHA256:
- c8af73fe3c836c3cf7909c242c754eed6cb8c11b1d0ae72ce2f774da1abbfeff
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