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")# pip install -U transformers accelerate # 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 tokenizer_config.json from nvidia/dragon-multiturn-query-encoder: direct link, hf CLI and curl.
- Browser
- Download file 28 Bytes
-
https://huggingface.co/nvidia/dragon-multiturn-query-encoder/resolve/refs%2Fpr%2F1/tokenizer_config.json
- Command line
-
hf download hf://nvidia/dragon-multiturn-query-encoder@refs/pr/1/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/nvidia/dragon-multiturn-query-encoder/resolve/refs%2Fpr%2F1/tokenizer_config.json
28 Bytes
| { | |
| "do_lower_case": true | |
| } | |